Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 13
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

Serious damage to the inner rim of the rear twin wheel in one dump truck was noted during the operation of the fleet performing transport tasks. It was a drive wheel, and its damage occurred while driving with a load exceeding the permissible value. The examination of selected fragments of the damaged rim surface was conducted visually as well as using a digital microscope with a portable head. The measurements of the Vickers hardness and microscopic observations of the material structure of the sample cut along the thickness of the rim disk were carried out. The drive torque loading of the twin wheels of the tipper-truck rear axle, under their mating with different kinds of road roughness and under various vertical loads of the wheels was calculated. An analysis of stress distributions in the rim modelled using the Finite Element Method was also conducted for several possible scenarios of wheel loading. The damage to the rim was caused by simultaneous action of several factors, such as overloading the car, poor condition of the tires, loading the drive wheel by a part of the vehicle weight and the driving torque, and hitting a wheel on a cavity in a dirt road, causing a temporary relief of one of the tires on a twin wheel.
Go to article

Authors and Affiliations

Przemyslaw Kubiak
1 2
Marek Wozniak
3
Sergiusz Zakrzewski
3
Krzysztof Siczek
3
Adam Rylski
3
Adam Mrowicki
1
Jan Matej
1
Jakub Deda
1
Lech Knap
1

  1. Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Narbutta Str. 84, 02-524 Warsaw, Poland
  2. Ecotechnology Team, Lodz University of Technology, Piotrkowska 266, 90-924 Lodz, Poland
  3. Faculty of Mechanical Engineering, Lodz University of Technology, Stefanowskiego 1/15, 90-537 Lodz, Poland
Download PDF Download RIS Download Bibtex

Abstract

A huge amount of carbon black (40-60 phr) was commonly used as a reinforcing material in manufacturing of tires to improve the technical properties of pure rubber. Carbon black causes severe health hazard like skin cancer, respiratory problem due to its fly loss property. This study focusses on reducing the usage of carbon black by replacing it with minimal quantity of nanoclay to compensate the technical properties of rubber. Natural Rubber nanocomposite are fabricated using solution and mechanical mixing method in presence and absence of compatibilizer. Cure characteristics, wear test and mechanical properties were examined. NR nanocomposite with dual filler in presence of compatibilizer showed enhancement in torque values, mechanical and wear resistant property. Wear resistance, tensile strength and modulus of dual filler nanocomposite was increased by 66.7%, 91% and 85% when compared to pure NR. Hence NR nanocomposite with dual filler in presence of compatibilizer was found as a proving and possible nanocomposite for tire application.
Go to article

Bibliography

[1] K . Pal, R. Rajasekar, D.J. Kang, Z.X. Zhang, S.K. Pal, C.K. Das, J.K. Kim, Mater. Des. 31 (2), 677-686 (2010). DOI : https://doi.org/10.1016/j.matdes.2009.08.014
[2] K . Pal, R. Rajasekar, T. Das, D. Kang, S. Pal, J. Kim, C. Das, Plast., Rubber Compos. 38 (7), 302-308 (2009). DOI : https://doi.org/10.1179/174328909X435393
[3] K . Pal, R. Rajasekar, D.J. Kang, Z.X. Zhang, J.K. Kim, C. Das, Mater. Des. 30 (10), 4035-4042 (2009). DOI : https://doi.org/10.1016/j.matdes.2009.05.021
[4] K . Roy, S.C. Debnath, P. Potiyaraj, J. Elastomers Plast., (2019).
[5] S .J. He, Y.Q. Wang, J. Lin, L.Q. Zhang, Adv. Mater. Res. 28-31 (2012).
[6] S . Ahmadi Shooli, M. Tavakoli, J. Macromol. Sci., Part B, 55 (10), 969-983 (2016). DOI : https://doi.org/10.1080/00222348.2016.1230464
[7] R . Sengupta, S. Chakraborty, S. Bandyopadhyay, S. Dasgupta, R. Mukhopadhyay, K. Auddy, A. Deuri, Polym. Eng. Sci. 47 (11), 1956-1974 (2007). DOI: https://doi.org/10.1002/pen.20921
[8] A. Malas, C.K. Das, J. Mater. Sci. 47 (4), 2016-2024 (2012). DOI : https://doi.org/10.1007/s10853-011-6000-z
[9] Q.-X. Jia, Y.-P. Wu, P. Xiang, Y. Xin, Y.-Q. Wang, L.-Q. Zhang, Polym. Polym. Compos. 13 (7), 709-719 (2005).
[10] H. Nabil, H. Ismail, Int. J. Polym. Anal. Charact. 19 (2), 159-174 (2014). DOI: https://doi.org/10.1080/1023666X.2014.873597
[11] R . Rajasekar, G. Heinrich, A. Das, C.K. Das, J. Nanotechnol. 2009, 1-5 (2009). DOI: https://doi.org/10.1155/2009/405153
[12] Y.-W. Mai, Z.-Z. Yu, Polym. Nanocompos., Woodhead publishing, (2006).
[13] R . Rajasekar, G. Nayak, C. Das, Plast., Rubber Compos. 40 (3), 146-150 (2011). DOI : https://doi.org/10.1179/1743289810Y.0000000010
[14] Y. Liang, Y. Wang, Y. Wu, Y. Lu, H. Zhang, L. Zhang, Polym. Test. 24 (1), 12-17 (2005). DOI : https://doi.org/10.1016/j.polymertesting.2004.08.004
[15] K . Pal, R. Rajasekar, S.K. Pal, J.K. Kim, C.K. Das, J. Nanosci. Nanotechnol. 10 (5), 3022-3033 (2010). DOI: https://doi.org/10.1166/ jnn.2010.2170
[16] R . Iyer, S. Suin, N.K. Shrivastava, S. Maiti, B. Khatua, Polym.- Plast. Technol. Eng. 52 (5), 514-524 (2013). DOI : https://doi.org/10.1080/03602559.2012.762024
[17] P. Saramolee, K. Sahakaro, N. Lopattananon, W.K. Dierkes, J.W. Noordermeer, J. Elastomers Plast. 48 (2), 145-163 (2016). DOI: https://doi.org/10.1177/0095244314568469
[18] N. Hayeemasae, I. Surya, H. Ismail, Int. J. Polym. Anal. Charact. 21 (5), 396-407 (2016). DOI : https://doi.org/10.1080/1023666X.2016.1160970
[19] R . Rajasekar, C. Das, Plast., Rubber Compos. 40 (8), 407-412 (2011). DOI: https://doi.org/10.1179/1743289810Y.0000000039
[20] A. Malas, C.K. Das, Mater. Des. 49, 857-865 (2013). DOI : https://doi.org/10.1016/j.matdes.2013.02.040
[21] R . Rajasekar, G. Nayak, A. Malas, C. Das, Mater. Des. 35 (1), 878-885 (2012). DOI: https://doi.org/10.1016/j.matdes.2011.10.018
[22] R . Mahaling, S. Kumar, T. Rath, C. Das, J. Elastomers Plast. 39 (3), 253-268 (2007). DOI: https://doi.org/10.1177/00952443070 76495
[23] P. Teh, Z.M. Ishak, A. Hashim, J. Karger-Kocsis, U. Ishiaku, Eur. Polym. J. 40 (11), 2513-2521 (2004). DOI : https://doi.org/10.1016/j.eurpolymj.2004.06.025
[24] H. Ismail, H. Chia, Eur. Polym. J. 34 (12), 1857-1863 (1998). DOI: https://doi.org/10.1016/S0014-3057(98)00029-9
[25] T. Mohan, J. Kuriakose, K. Kanny, J. Ind. Eng. Chem. 17 (2), 264-270 (2011). DOI: https://doi.org/10.1016/j.jiec.2011.02.019
[26] M.S. Kim, G.H. Kim, S.R. Chowdhury, Polym. Eng. Sci. 47 (3), 308-313 (2007). DOI: https://doi.org/10.1002/pen.20709
[27] A. Khalil, S.N. Shaikh, Z.R. Nudrat, S. Khaula, Adv. Mater. Phys. Chem. 2012, (2012).
[28] G .C.N. R. Rajasekar, C.K. Das, Materials Science & Technologies, 575-590, (2011).
[29] B.P. Kapgate, C. Das, D. Basu, A. Das, G. Heinrich, J. Ela-stomers Plast. 47 (3), 248-261 (2015). DOI: https://doi.org/10.1177/0095244313507807
[30] K . Pal, T. Das, R. Rajasekar, S.K. Pal, C.K. Das, J. Appl. Polym. Sci. 111 (1), 348-357 (2009). DOI: https://doi.org/10.1002/app.29128
[31] M. Balachandran, S. Bhagawan, J. Polym. Res. 19 (2), 9809 (2012). DOI: https://doi.org/10.1007/s10965-011-9809-x
[32] Y. Liu, L. Li, Q. Wang, Plast., Rubber Compos. 39 (8), 370-376 (2010). DOI: https://doi.org/10.1179/174328910X12691245469871
Go to article

Authors and Affiliations

M. Harikrishna Kumar
1
ORCID: ORCID
Shankar Subramaniam
1
Rajasekar Rathanasamy
1
ORCID: ORCID
Samir Kumar Pal
2
ORCID: ORCID
Sathish Kumar Palaniappan
2

  1. School of Building and Mechanical Sciences, Kongu Engineering College, Perundurai – 638060, Tamil Nadu State, India
  2. Department of Mining Engineering, Indian Institute of Technology, Kharagpur – 721302, West Bengal State, India
Download PDF Download RIS Download Bibtex

Abstract

In the present investigation, the morphology of Ti inclusions in high strength tire cord steel was investigated and their precipitation behavior was discussed using a precipitation and growth model. The results show that Ti inclusions mainly exist in the form of TiN. The two-dimensional characterization of Ti inclusions is square-like with sharp edges and corners, while its three-dimensional shape exhibits a cubic or rectangular-prism morphology. The Ti inclusions do not precipitate when the solid fraction of tire cord during solidification is less than 0.987, and their final radius is closely related to the cooling rate and initial concentration product. The higher the cooling speed, the smaller the final radius, when the cooling speed is constant, the final radius of Ti inclusions is mainly determined by the initial concentration product, w[N]0×w[Ti]0. In order to retard the precipitation and growth of Ti inclusions in tire cord steel, the cooling rate and initial concentration product can be taken into consideration.

Go to article

Authors and Affiliations

Jialiu Lei
Dongnan Zhao
Yongjun Fu
Xianfeng Xu
Download PDF Download RIS Download Bibtex

Abstract

In the present work, a tire model is derived based on geometrically exact shells. The discretization is done with the help of isoparametric quadrilateral finite elements. The interpolation is performed with bilinear Lagrangian polynomials for the midsurface as well as for the director field. As time stepping method for the resulting differential algebraic equation a backward differentiation formula is chosen. A multilayer material model for geometrically exact shells is introduced, to describe the anisotropic behavior of the tire material. To handle the interaction with a rigid road surface, a unilateral frictional contact formulation is introduced. Therein a special surface to surface contact element is developed, which rebuilds the shape of the tire.

Go to article

Authors and Affiliations

Michael Roller
Peter Betsch
Axel Gallrein
Joachim Linn
Download PDF Download RIS Download Bibtex

Abstract

It is estimated that the amount of used car tires in the European Union in 2016 was established at the level of 3,515,000 Mg, which is undoubtedly a problem from the point of view of engineering and environmental protection. An alternative to storing this waste in landfills is their pyrolysis. As a result of thermal decomposition, calorific value products (oil and gas fraction) are obtained, as well as a solid residue, which due to its composition and properties can be processed into a high quality carbon sorbent. For this purpose, various methods of modification of the pyrolyzate are used, both involving physical and chemical activation. This article presents the characteristics of solid residue after the pyrolysis of rubber tires running at a temperature of about 400°C, which included an analysis of chemical composition (XRF and IR), mineralogical composition (XRD, SEM-EDS) and textural characteristics. Additionally, for the purpose of activation, the sample was treated with nitrogen at a temperature of 550°C. The mineralogical analysis showed that the dominant mineral component is carbon. In addition, the presence of quartz, calcite and sphalerite was observed. Analysis of the chemical composition suggests that due to the high carbon content (about 80% by mass) it is possible for a carbon sorbent from the analyzed waste to be obtained. However, previous preliminary studies did not allow a material constituting a substitute for activated carbon to be obtained, because the applied modification only slightly increased the BET specific surface area, which reached the value of approx. 85 m2/g. Based on the analysis of the pore size distribution of the 2 tested samples, it was found to be homogeneous/modal with a micro/mesoporous nature, while the shape of the hysteresis loop suggests the presence of “bottle shape” pores. Due to the relatively high content of zinc, the composition of waste (about 4% of mass), the possibility of recovery of this element should also be considered.

Go to article

Authors and Affiliations

Dorota Czarna-Juszkiewicz
Magdalena Wdowin
Piotr Kunecki
Paweł Baran
Rafał Panek
Robert Żmuda
Download PDF Download RIS Download Bibtex

Abstract

A new type of non-inflatable metal tire is designed to prevent the flat tire caused by puncture and shrapnel penetration, and it can be used on star rovers and military or civilian wheeled vehicles. In order to study vibration damping characteristics of the new wheel, a specimen with the same size as the pneumatic tire (235/70 R16) is made for contrast tests. A filtering method is proposed to reduce impulse and random interference noise in collected vibration signal. Comparative analysis of ride comfort performance is conducted by solving weighted acceleration root mean square (RMS) values. The results show that the filtering method has a good effect, and ride comfort of the metal tire is slightly worse, while it has a better grasping ability. Therefore, some extended structures have been recommended to improve the vibration damping performance.

Go to article

Authors and Affiliations

Z. Zhenglong
S. Bin
L. Jiangang
D. Zhiguang
H. Zhongbo
Download PDF Download RIS Download Bibtex

Abstract

Oil-in-water emulsion is thermodynamically unstable system that undergoes destabilization with time. The tripropylene glycol diacrylate (TPGDA) monomer which can potentially to increase the crosslink density of polymer blends is unstable in water due to its low water solubility properties. However, the stability of TPGDA emulsion could be improved by adding an adequate amount of surfactant. This study addresses the effect of different Tween 20 (surfactant) concentration on emulsion stability of TPGDA. Model emulsion ranging between 0.1 wt% to 3 wt% of Tween 20 and a control were prepared using heavy duty homogenizer. The emulsion was characterised by FTIR, microstructure analysis, phase separation observation and creaming index during storage time. Emulsion containing 0.4 wt% Tween 20 showed the longest stability at 24 hours and a creaming index of 0%, which is enough for an ideal emulsion. The FTIR spectra displayed the interaction of TPGDA and Tw-20, proving that the emulsion is fully mixed and stabilized. The results are further supported by optical microscopy, which observed no droplet aggregation and flocculation in the TPGDA emulsion with the presence of 0.4 wt% of Tw-20 surfactant. This information about Tw-20 is beneficial, making it a promising surfactant for enhancing the emulsion stability of the TPGDA emulsion.
Go to article

Authors and Affiliations

S.S.M. Shirajuddin
1 2
ORCID: ORCID
M.M. Al Bakri Abdullah
2
ORCID: ORCID
C.M.R. Ghazali
3
K. Hussin
2
M.F.A. Rahman
1

  1. Malaysian Nuclear Agency, Radiation Processing Technology, Bangi, 43000 Kajang, Selangor, Malaysia
  2. Universiti Malaysia Perlis, Faculty of Chemical Engineering Technology, 01000 Kangar, Perlis, Malaysia
  3. Universiti Malaysia Terengganu, School of Fundamental Science, 21030 Kuala Terengganu, Terengganu, Malaysia
Download PDF Download RIS Download Bibtex

Abstract

Communication noise is classified as one of the pollutions for the current environment. Experimental techniques to measure tire-pavement noise generation from asphalt pavements in the laboratory have been limited. A series of experiments were conducted on six different asphalt mixtures to determine if Purdue University’s Tire-Pavement Test Apparatus (TPTA) could be used to overcome these limitations. The procedure produced samples with low tire-pavement noise; however, the air void contents of the samples were higher than designed. Despite these difficulties, the sample preparation technique and the TPTA testing protocol were shown to offer an effective approach for quick laboratory assessment of tire-pavement noise characteristics of hot mix asphalt pavements at a substantially reduced cost compared to field testing.

Go to article

Authors and Affiliations

K.J. Kowalski
T. Dare
R.S. Mcdaniel
J. Olek
R. Bernhard
Download PDF Download RIS Download Bibtex

Abstract

Traffic related noise is currently considered as an environmental pollution. Paper presents results of multidirectional study attempting to serve urban traffic without the need to erect noise barriers interfering urban space. Initial concept of the road expansion included construction of 1000 m of noise barriers dividing city space. Improvement in the acoustic conditions after construction completion is possible due to the applied noise protection measures: vehicle speed limit, smooth of traffic flow, use of road pavement of reduced noise emission and the technical improvement of the tramway.

Go to article

Authors and Affiliations

K.J. Kowalski
A.J. Brzeziński
J.B. Król
P. Radziszewski
Ł. Szymański
Download PDF Download RIS Download Bibtex

Abstract

Tires play an important role in the automobile industry. However, their disposal when worn out has adverse effects on the environment. The main aim of this study was to prepare activated carbon from waste tire pyrolysis char by impregnating KOH onto pyrolytic char. Adsorption studies on lead onto chemically activated carbon were carried out using response surface methodology. The effect of process parameters such as temperature (°C), adsorbent dosage (g/100 ml), pH, contact time (minutes) and initial lead concentration (mg/l) on the adsorption capacity were investigated. It was found out that the adsorption capacity increased with an increase in adsorbent dosage, contact time, pH, and decreased with an increase in lead concentration and temperature. Optimization of the process variables was done using a numerical optimization method. Fourier Transform Infrared Spectra (FTIR) analysis, X-ray Diffraction (XRD), Thermogravimetric analysis (TGA) and scanning electron microscope were used to characterize the pyrolytic carbon char before and after activation. The numerical optimization analysis results showed that the maximum adsorption capacity of

93.176 mg/g was obtained at adsorbent dosage of 0.97 g/100 ml, pH 7, contact time of 115.27 min, initial metal concentration of 100 mg/and temperature of 25°C. FTIR and TGA analysis showed the presence of oxygen containing functional groups on the surface of the activated carbon produced and that the weight loss during the activation step was negligible.

Go to article

Authors and Affiliations

Hilary Rutto
Tumisang Seidigeng
Lucky Malise
Download PDF Download RIS Download Bibtex

Abstract

The main objective of the research presented in this paper is to enhance driver-passengers comfort of a vehicle that in turn leads to better vehicle safety and stability. The focus was put on studying the interior vibration and noise contributions originated from tire-road and engine-transmission subsystems, due to their significant impact on the dynamic performance of the vehicle. The noise and vibration measurements were recorded at the driver’s head position and on the driver legs room. Furthermore, the influence of different tire types and road surface textures on the vehicle interior noise and vibration were considered. The results indicate that the widely used conventional engine mounts and tires in commercial vehicles cannot fulfill the conflicting requirements for the best isolation concerning both road surface and engine-transmission induced excitations. The values of driver’s head position sound pressure level and floor vibration acceleration broadband averages originate for engine-transmission are lower than that for tire-road interaction. Furthermore, the values of RMS, crest factor, kurtosis and IRI for the vehicle waveform were estimated for vehicle speeds, tire types and road surface textures. Moreover, the percentage contribution for both interior noise and vibration originated from tire-road interaction is higher than the one from vehicle engine-transmission system in all the vehicle speed range, tire type and road surface texture considered.

Go to article

Authors and Affiliations

Shawki Abouel-Seoud
Download PDF Download RIS Download Bibtex

Abstract

High strength tire cord steel is extensively used in radial ply tyres as the framework material, but the presence of brittle single titanium inclusions or complex titanium inclusions can cause failure of the wires and jeopardize their performance in production. In order to provide a key guidance on the control of titanium inclusions, it is necessary to clarify their formation mechanism during solidification. In the present work, the thermodynamic calculations were employed for an elaboration on their formation mechanism, combined with the industrial test. The TiN–MnS complex inclusions observed by SEM–EDS shows that the internal corresponds to TiN and the external is MnS. Thermodynamic calculations based on the microsegregation model indicate that MnS forms first, which can act as a nucleation site for the co–deposit of TiN in the mushy zone. As the MnS inclusions have a better deformation than that of TiN inclusions, then the TiN inclusions are wrapped by the MnS inclusions, generating TiN–MnS complex inclusions after rolling.
Go to article

Bibliography

[1] Abushosha, R., Vipond, R. & Mintz, B. (1991). Influence of titanium on hot ductility of as cast steels. Materials Science & Technology. 7(7), 613-621.
[2] Chen, Z., Li, M., Wang, X., He, S. & Wang, Q. (2019). Mechanism of floater formation in the mold during continuous casting of Ti-stabilized austenitic stainless steels. Metals. 9, 635-649.
[3] Karmakar, A., Kundu, S., Roy, S., Neogy, S., Srivastava, D. & Chakrabarti, D. (2014). Effect of microalloying elements on austenite grain growth in Nb–Ti and Nb–V steels. Materials Science and Technology. 30(6), 653-664.
[4] Reyes-Calderón, F., Mejía, I., Boulaajaj, A. & Cabrera, J.M. (2013). Effect of microalloying elements (Nb, V and Ti) on the hot flow behavior of high–Mn austenitic twinning induced plasticity (TWIP) steel. Materials Science and Engineering: A. 560, 552-560.
[5] Chen, C.Y., Jiang, Z.H., Li, Y., Zheng, L.C., Huang, X.F. & Yang, G. (2019). State of the art in the control of inclusions in tire cord steels and saw wire steels–A Review. Steel Research International. 6, 1-13.
[6] Lei, J.L., Zhao, D.N., Fu, Y.J., & Xu, X.F. (2019). Research on the characterization of Ti inclusions and their precipitation behavior in tire cord steel. Archives of Foundry Engineering. 19(3), 33-37.
[7] Cui, H.Z. & Chen, W. Q. (2012). Effect of boron on morphology of inclusions in tire cord steel. Journal of Iron and Steel Research International. 19( 4), 22-27.
[8] Wu, S., Liu, Z., Zhou, X., Yang, H. & Wang, G. (2017). Precipitation behavior of Ti in high strength steels. Journal of Central South University. 24(12), 2767-2772.
[9] Petit, J., Sarrazin-Baudoux, C. & Lorenzi, F. (2010). Fatigue crack propagation in thin wires of ultrahigh strength steels. Procedia Engineering. 2, 2317-2326.
[10] Liu, H.Y., Wang, H.L., Li, L., Zheng, J.Q., Li, Y.H. & Zeng, X.Y. (2011). Investigation of Ti inclusions in wire cord steel. Ironmaking and Steelmaking. 38(1), 53-58.
[11] Cai, X.F., Bao, Y.P., Wang, M., Lin, L., Dai, N.C. & Gu, C. (2015). 69Investigation of precipitation and growth behavior of Ti inclusions in tire cord steel. Metallurgical Research and Technology. 112(4), 407-418.
[12] Lei, J.L., Xue, Z.L., Jiang, Y.D., Zhang, J. & Zhu, T.T. (2012). Study on TiN precipitation during solidification for hypereutectoid tire cord steel. Metalurgia International. 17(9), 10-15.
[13] Chen, J.X. (2010). Common charts and databook for steelmaking. (2nd ed.). Beijing: Metallurgical Industry Press.
[14] Clyne, T.W., Wolf, M. & Kurz, W. (1982). The effect of melt composition on solidification cracking of steel with particular reference to continuous casting. Metallurgical and Materials Transactions B. 13(2), 259-266.
[15] Wada, H., & Pehlke, R.D. (1985). Nitrogen solubility and nitride formation in austenitic Fe–Ti alloys. Metallurgical and Materials Transactions B. 16(4), 815-822.
[16] Ma, Z., & Janke, D. (1998). Characteristics of oxide precipitation and growth during solidification of deoxidized steel. ISIJ International. 38(1), 46-52.
[17] Darken, L.S. (1967). Thermodynamics of binary metallic solutions. Transaction of American Institute of Mining, Metallurgical, and Petroleum Engineers. 239(1), 80-89.
[18] Yoshikawa, T., & Morita, K. (2007). Influence of alloying elements on the thermodynamic properties of titanium in molten steel. Metallurgical and Materials Transactions B. 38(4), 671-680.
[19] Kim, W., Jo, J., Chung, T., Kim, D. & Pak, J. (2007). Thermodynamics of titanium, nitrogen and TiN formation in liquid iron. ISIJ International. 47(8), 1082-1089.
[20] Ma, W.J., Bao, Y.P., Zhao, L.H., & Wang, M. (2014). Control of the precipitation of TiN inclusions in gear steels. International Journal of Minerals Metallurgy and Materials. 21(3), 234-239.
[21] Huang, X.H. (2001). Theory of Iron and Steel Metallurgy. (3rd ed.). Beijing: Metallurgical Industry Press.
[22] Won, Y.M. & Thomas, B.G. (2011). Simple model of micro–segregation during solidification of steels. Metallurgical and Materials Transactions A. 32(7), 1755-1767.
[23] Ohnaka, I. (1986). Mathematical-analysis of solute redistribution during solidification with diffusion in solid–phase. ISIJ International. 26(12), 1045-1051.
[24] Maugis, P. & Gouné, M. (2005). Kinetics of vanadium carbonitride precipitation in steel: a computer model. Acta Materialia. 53(12), 3359-3367.
[25] Manohar, P.A., Dunne, D.P., Chandra, T. & Killmore, C.R. (2007). Grain growth predictions in microalloyed steels. ISIJ International, 36(2), 194-200.
[26] Choudhary, S.K. & Ghosh, A. (2009). Mathematical model for prediction of composition of inclusions formed during solidification of liquid steel. ISIJ International. 49(12), 1819-1827.
[27] Gao, S., Wang, M., Guo, J.L., Wang, H. & Bao, Y.P. (2019). Extraction, distribution, and precipitation mechanism of TiN–MnS complex inclusions in Al-killed titanium alloyed interstitial free steel. Metals and Materials International. 12, 1-9.
Go to article

Authors and Affiliations

Jialiu Lei
1
Xiumin Wang
1
Dongnan Zhao
1
Yongjun Fu
1

  1. Hubei Polytechnic University, China
Download PDF Download RIS Download Bibtex

Abstract

To improve the curve driving stability and safety under critical maneuvers for four-wheel-independent drive autonomous electric vehicles, a three-stage direct yaw moment control (DYC) strategy design procedure is proposed in this work. The first stage conducts the modeling of the tire nonlinear mechanical properties, i.e. the coupling relationship between the tire longitudinal force and the tire lateral force, which is crucial for the DYC strategy design, in the STI (Systems Technologies Inc.) form based on experimental data. On this basis, a 7-DOF vehicle dynamics model is established and the direct yaw moment calculation problem of the four-wheel-independent drive autonomous electric vehicle is solved through the nonsingular fast terminal sliding mode (NFTSM) control method, thus the optimal direct yaw moment can be obtained. To achieve this direct yaw moment, an optimal allocation problem of the tire forces is further solved by using the trust-region interior-point method, which can effectively guarantee the solving efficiency of complex optimization problem like the tire driving and braking forces allocation of four wheels in this work. Finally, the effectiveness of the DYC strategy proposed for the autonomous electric vehicles is verified through the CarSim-Simulink co-simulation results.
Go to article

Bibliography

  1.  H. Wang, K. Xu, Y. Cai, and L. Chen, “Trajectory planning for lane changing of intelligent vehicles under multiple operating conditions”, J. Jiangsu Univ. Nat. Sci. 40(3), 255‒260 (2019).
  2.  Y. Li, B. Zhang, and X. Xu, “Robust control for permanent magnet in-wheel motor in electric vehicles using adaptive fuzzy neural network with inverse system decoupling”, Trans. Can. Soc. Mech. Eng. 42(3), 286‒297 (2018).
  3.  Y. Li, H. Deng, X. Xu, and W. Wang, “Modelling and testing of in-wheel motor drive intelligent electric vehicles based on co-simulation with Carsim/Simulink”, IET. Intell. Transp. Syst. 13(1), 115‒123 (2019).
  4.  D. Zhang, G. Liu, H. Zhou, and W. Zhao, “Adaptive sliding mode fault-tolerant coordination control for four-wheel independently driven electric vehicles”, IEEE. Trans. Ind. Electron. 65(11), 9090‒9100 (2018).
  5.  T. Chen, X. Xu, L. Chen, H. Jiang, Y. Cai, and Y. Li, “Estimation of longitudinal force, lateral vehicle speed and yaw rate for four-wheel independent driven electric vehicles”, Mech. Syst. Signal. Process. 101, 377‒388 (2018).
  6.  T. Chen, X. Xu, Y. Cai, H. Jiang, and X. Sun, “Reliable sideslip angle estimation of four-wheel independent drive electric vehicle by information iteration and fusion”, Math. Probl. Eng. 2018, 9075372 (2018).
  7.  H. Zhang, J. Liang, H. Jiang, Y. Cai, and X. Xu, “Stability research of distributed drive electric vehicle by adaptive direct yaw moment control”, IEEE Access. 7, 106225‒106237 (2019).
  8.  L.D. Novellis, A. Sorniotti, P. Gruber, J. Orus, J.R. Fortun, J. Theunissen and J. D. Smet, “Direct yaw moment control actuated through electric drivetrains and friction brakes: Theoretical design and experimental assessment”, Mechatronics. 26, 1‒15 (2015).
  9.  Y. Chen, J. Hedrick, and K. Guo, “A novel direct yaw moment controller for in-wheel motor electric vehicles”, Veh. Syst. Dyn. 51(6), 925‒942 (2013).
  10.  A. Goodarzi, F. Diba, and E. Esmailzadeh, “Innovative active vehicle safety using integrated stabilizer pendulum and direct yaw moment control”, J. Dyn. Syst-Trans. ASME. 136(5), DS-12-1335 (2014).
  11.  S. Ding and J. Sun, “Direct yaw-moment control for 4WID electric vehicle via finite-time control technique”, Nonlinear Dyn. 88(1), 239‒254 (2017).
  12.  S. Ding, L. Liu, and W. Zheng, “Sliding mode direct yaw-moment control design for in-wheel electric vehicles”, IEEE. Trans. Ind. Electron. 64(8), 6752‒6762 (2017).
  13.  W. Huang, P. Wong, K. Wong, C. Vong, and J. Zhao, “Adaptive neural control of vehicle yaw stability with active front steering using an improved random projection neural network”, Veh. Syst. Dyn. 59(3), 396‒414 (2021), doi: 10.1080/00423114.2019.1690152.
  14.  J. Wagner and J. Keane, “A strategy to verify chassis controller software-dynamics, hardware, and automation”, IEEE Trans. Syst. Man Cybern. Part A-Syst. Hum. 27(4), 480‒493 (1997).
  15.  M. Reiter and J. Wagner, “Automated automotive tire inflation system–effect of tire pressure on vehicle handling”, IFAC Proceedings 47(3), 638‒643 (2010).
  16.  Y. Shi, Q. Liu, and F. Yu, “Design of an adaptive FO-PID controller for an in-wheel-motor driven electric vehicle”, SAE Int. J. Commer. Veh. 10, 265‒274 (2017).
  17.  H. Guo, F. Liu, F. Xu, H. Chen, D. Cao, and Y. Ji, “Nonlinear model predictive lateral stability control of active chassis for intelligent vehicles and its FPGA implementation”, IEEE Trans. Syst. Man Cybern. Part A-Syst. Hum. 49(1), 2‒13 (2017).
  18.  Q. Meng, T. Zhao, C. Qian, Z. Sun, and P. Ge, “Integrated stability control of AFS and DYC for electric vehicle based on non-smooth control”, Int. J. Syst. Sci. 49(7), 1518‒1528 (2018).
  19.  J. Song, “Development and comparison of integrated dynamics control systems with fuzzy logic control and sliding mode control”, J. Mech. Sci. Technol. 27(6), 1853‒1861 (2013).
  20.  J. Wang and R. He, “Hydraulic anti-lock braking control strategy of a vehicle based on a modified optimal sliding mode control method”, Proc. Inst. Mech. Eng. Part D-J. Aut. 233(12), 3185‒3198 (2019).
  21.  X. Sun, Y. Cai, C. Yuan, S. Wang, and L. Chen, “Fuzzy sliding mode control for the vehicle height and leveling adjustment system of an electronic air suspension”, Chin. J. Mech. Eng. 31(25), (2018), doi. 10.1186/s10033-018-0223-8.
  22.  S. Chen, J. Wang, M. Yao, and Y. Kim, “Improved optimal sliding mode control for a non-linear vehicle active suspension system”, J. Sound. Vib. 395, 1‒25 (2017).
  23.  Z. Yang, D. Zhang, X. Sun, W. Sun, and L. Chen, “Nonsingular Fast Terminal Sliding Mode Control for a Bearingless Induction Motor”, IEEE Access. 5, 16656‒16664 (2017).
  24.  E. Mousavinejad, Q. Han, F. Yang, Y. Zhu, and L. Vlacic, “Integrated control of ground vehicles dynamics via advanced terminal sliding mode control”, Veh. Syst. Dyn. 55(2), 268‒294 (2017).
  25.  A. Asiabar and R. Kazemi, “A direct yaw moment controller for a four in-wheel motor drive electric vehicle using adaptive sliding mode control”, Proc. Inst. Mech. Eng. Part K-J. Multi-Body Dyn. 233(3), 549‒567 (2019).
  26.  J. Zhang and J. Li, “Integrated vehicle chassis control for active front steering and direct yaw moment control based on hierarchical structure”, Trans. Inst. Meas. Control. 41(9), 2428‒2440 (2019).
  27.  S. Yue and Y. Fan, “Hierarchical direct yaw-moment control system design for in-wheel motor driven electric vehicle”, Int. J. Automot. Technol. 19(4), 695‒703 (2018).
  28.  X. Chen, J. Yang, D. Zhang, and J. Liang, “Complete large margin linear discriminant analysis using mathematical programming approach”, Pattern Recogn. 46(6), 1579‒1594 (2013).
  29.  R.H. Byrd, M.E. Hribar, and J. Nocedal, “An interior point algorithm for large-scale nonlinear programming”, SIAM J. Optim. 9(4), 877‒900 (1999).
  30.  R.H. Byrd, J.C. Gilbert, and J. Nocedal, “A trust region method based on interior point techniques for nonlinear programming”, Math. Progr. 89(1), 149‒185 (2000).
  31.  K. Pan and Y. Lu, “Analysis on vehicle dynamic simulating sti tire model used in driving simulator”, Auto Eng. 2, 28‒30 (2009).
  32.  Q. Xia, L. Chen, X. Xu, Y. Cai, H. Jiang, T. Chen, and G. Pan, “Running states estimation of autonomous four-wheel independent drive electric vehicle by virtual longitudinal force sensors”, Math. Probl. Eng. 2019, 8302943 (2019), doi: 10.1155/2019/8302943.
  33.  J. Tian, J. Tong, and S. Luo, “Differential steering control of four-wheel independent-drive electric vehicles”, Energies 11(11), 2892 (2018).
  34.  T. Chen, X. Xu, Y. Li, W. Wang, and L. Chen, “Speed-dependent coordinated control of differential and assisted steering for in-wheel motor driven electric vehicles”, Proc. Inst. Mech. Eng. Part D-J. Automob. Eng. 232(9), 1206‒1220 (2018).
  35.  L. Chen, T. Chen, X. Xu, Y. Cai, H. Jiang, and X. Sun, “Multi-objective coordination control strategy of distributed drive electric vehicle by orientated tire force distribution method”, IEEE Access. 6, 69559‒69574 (2018).
  36.  P. Herman and W.Adamski, “Non-adaptive velocity tracking controller for a class of vehicles”, Bull. Pol. Acad. Sci. Tech. Sci. 65(4) 459‒468 (2017).
  37.  Y. Li, H. Wu, X. Xu, Y. Cai, and X. Sun, “Analysis on electromechanical coupling vibration characteristics of in-wheel motor in electric vehicles considering air gap eccentricity”, Bull. Pol. Acad. Sci. Tech. Sci. 67(5), 851‒862 (2019).
  38.  X. Zhang, H. He, J. Nie, and L. Chen, “Performance analysis of semi-active suspension with skyhook-inertance control”, J. Jiangsu Univ. Nat. Sci. 39(5), 497‒502 (2018).
  39.  Y.Li, B.Zhang, and X.Xu, “Decoupling control for permanent magnet in-wheel motor using internal model control based on back- propagation neural network inverse system”, Bull. Pol. Acad. Sci. Tech. Sci. 66(6), 961‒972 (2018).
  40.  S. Jiang, P. Wong, R. Guan, Y. Liang, and J. Li, “An efficient fault diagnostic method for three-phase induction motors based on incremental broad learning and non-negative matrix factorization”, IEEE Access 9, 17780‒17790 (2019).
  41.  H. Ye, G. Li, S. Ding, and H. Jiang, “Direct yaw moment control of electric vehicle based on non-smooth control technique”, J. Jiangsu Univ. Nat. Sci. 39(6), 640‒646 (2018).
  42.  H. Qiu, Z. Dong, and Z. Lei, “Simulation and experiment of integration control of ARS and DYC for electrical vehicle with four wheel independent drive”, J. Jiangsu Univ. Nat. Sci. 37(3), 268‒276 (2016).
  43.  S. Ding, L. Liu, and J. H. Park, “A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system”, Int. J. Robust Nonlinear Control 29(12), 4250‒4269 (2019).
  44.  S. Ding and W. Zheng, “Nonsingular terminal sliding mode control of nonlinear second-order systems with input saturation”, Int. J. Robust Nonlinear Control 26(9) 1857‒1872 (2016).
  45.  H. Jiang, F. Cao, and W. Zhu, “Control method of intelligent vehicles cluster motion based on SMC”, J. Jiangsu Univ. Nat. Sci. 39(4), 385‒39 (2018).
  46.  B. Xu, G. Shi, W. Ji, F. Liu, and S. Ding, H. Zhu, “Design of an adaptive nonsingular terminal sliding model control method for a bearingless permanent magnet synchronous motor”, Trans. Inst. Meas. Control 39(12), 1821‒1828 (2017).
  47.  X. Yu, J. Yin, and S. Khoo, “Generalized Lyapunov criteria on finite-time stability of stochastic nonlinear systems”, Automatica 107,183‒189 (2019).
  48.  Y. Ma, Z. Zhang, Z. Niu, and N. Ding, “Design and verification of integrated control strategy for tractor-semitrailer AFS/DYC”, J. Jiangsu Univ. Nat. Sci. 39(5), 530‒536 (2018).
  49.  J. Wang, X. Yu, Z. Hui, and X. Hu, “Influence of running speed and lateral distance on vehicle transient aerodynamic characteristics during curve crossing”, J. Jiangsu Univ. Nat. Sci. 38(3), 249‒253 (2017).
  50.  C. Huang, L. Chen, C. Yun, H. Jiang, and Y. Chen, “Integrated Control of Lateral and Vertical Vehicle Dynamics Based on Multi-agent System”, Chin. J. Mech. Eng. 27(2), 304‒318 (2014).
  51.  W. Liu, R. Wang, C. Xie, and Q. Ye, “Investigation on adaptive preview distance path tracking control with directional error compensation”, Proc. Inst. Mech. Eng. Part I-J. Syst. Control Eng. 234(4), 484‒500 (2019), doi: 10.1177/0959651819865789.
  52.  T. Coleman and Y. Li, “A trust region and affine scaling interior point method for nonconvex minimization with linear inequality constraints”, Math. Progr. 88(1), 1‒31 (2000).
  53.  F. Leibfritz and E. Mostafa, “An interior point constrained trust region method for a special class of nonlinear semidefinite programming problems”, SIAM J. Optim. 12(4), 1048‒1074 (2002).
  54.  M. Rojas and T. Steihaug, “An interior-point trust-region-based method for large-scale non-negative regularization”, Inverse Probl. 18(5), 1291‒1307 (2002).
  55.  J. Bonnans and C. Pola, “A trust region interior point algorithm for linearly constrained optimization”, SIAM J. Optim. 7(3), 717‒731 (1997).
  56.  J. Erway and P. Gill, “A subspace minimization method for the trust-region step”, SIAM J. Optim. 20(3), 1439‒1461 (2010).
Go to article

Authors and Affiliations

Xiaoqiang Sun
1 2
Yujun Wang
1
Yingfeng Cai
1
Pak Kin Wong
3
Long Chen
2
ORCID: ORCID

  1. Automotive Engineering Research Institute, Jiangsu University, Zhenjiang Jiangsu, China
  2. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, China
  3. Department of Electromechanical Engineering, University of Macau, Taipa, Macau

This page uses 'cookies'. Learn more