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Number of results: 8
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Abstract

In this study, a three-level Box-Behnken design of experiments combined with response surface methodology used to investigate the effects of the feed density, feed pressure and vortex finder diameter on the separation results (ash content and yield of the overflow) of a water-only cyclone. The coal used in the study was supplied from Soma, Turkey and crushed to below 1 mm. Experiments were conducted using a watter-only cyclone (WOC) which was operated in a closed-circuit test rig, overflow and underflow streams were collected and were sieved through 0.1 mm to simulate dewatering screens.The actual data collected from the tests were used to construct the empirical models representing clean coal ash and yield as process responses to the independent variables. The significance test of model fit for clean coal ash and yield were performed using analysis of variance (ANOVA). The results showed that ash content and yield of the clean coal models were significant.The results showed that with an increase in vortex finder diameter (VFD), feed density (FD) and inlet pressure (IP), ash content and yield of the clean coal increases. The results suggested that all main parameters affected the ash content and yield of the clean coal to some degree. The significance order of the effect of the variables on the ash content and yield was found as FD > VFD > IP and VFD > IP > FD respectively. The results of the numerical optimization in the range of the experimental data showed that it is possible to reduce the ash content of clean coal from 42.21 to 18.89.
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Authors and Affiliations

Çağrı Çerİk
1
ORCID: ORCID
Vedat Arslan
1

  1. Dokuz Eylul University, Department of Mining Engineering, Izmir, Turkey
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Abstract

Titanium alloy (Ti-6Al-4V) has been extensively used in aircraft turbine-engine components, aircraft structural components, aerospace fasteners, high performance automotive parts, marine applications, medical devices and sports equipment. However, wide-spread use of this alloy has limits because of difficulty to machine it. One of the major difficulties found during machining is development of poor quality of surface in the form of higher surface roughness. The present investigation has been concentrated on studying the effects of cutting parameters of cutting speed, feed rate and depth of cut on surface roughness of the product during turning of titanium alloy. Box-Behnken experimental design was used to collect data for surface roughness. ANOVA was used to determine the significance of the cutting parameters. The model equation is also formulated to predict surface roughness. Optimal values of cutting parameters were determined through response surface methodology. A 100% desirability level in the turning process for economy was indicated by the optimized model. Also, the predicted values that were obtained through regression equation were found to be in close agreement to the experimental values.

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Authors and Affiliations

Niharika Niharika
B.P. Agrawal
Iqbal A. Khan
Zahid A. Khan
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Abstract

The present research employs the statistical tool of Response surface methodology (RSM) to evaluate the machining characteristics of carbon nanotubes (CNTs) coated high-speed steel (HSS) tools. The methodology used for depositing carbon nanotubes was Plasma-Enhanced Chemical Vapor Deposition (PECVD). Cutting speed, thickness of cut, and feed rate were chosen as machining factors, and cutting forces, cutting tooltip temperature, tool wear, and surface roughness were included as machining responses. Three-level of cutting conditions were followed. The face-centered, Central Composite Design (CCD) was followed to conduct twenty number of experiments. The speed of cutting and rate of feed have been identified as the most influential variables over the responses considered, followed by the thickness of cut. The model reveals the optimized level of cutting parameters to achieve the required objectives. The confirmation experiments were also carried out to validate the acceptable degree of variations between the experimental results and the predicted one.
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Authors and Affiliations

Chandru Manivannan
1
ORCID: ORCID
Selladurai Velappan
2
ORCID: ORCID
Venkatesh Chenrayan
3
ORCID: ORCID

  1. Dhirajlal Gandhi College of Technology, Salem – 636309, Tamilnadu, India
  2. Coimbatore Institute of Technology, Coimbatore – 641014, Tamilnadu, India
  3. Adama Science and Technology University, Adama, Ethiopia
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Abstract

Optimal parameters setting of injection moulding (IM) machine critically effects productivity, quality, and cost production of end products in manufacturing industries. Previously, trial and error method were the most common method for the production engineers to meet the optimal process injection moulding parameter setting. Inappropriate injection moulding machine parameter settings can lead to poor production and quality of a product. Therefore, this study was purposefully carried out to overcome those uncertainty. This paper presents a statistical technique on the optimization of injection moulding process parameters through central composite design (CCD). In this study, an understanding of the injection moulding process and consequently its optimization is carried out by CCD based on three parameters (melt temperature, packing pressure, and cooling time) which influence the shrinkage and tensile strength of rice husk (RH) reinforced low density polyethylene (LDPE) composites. Statistical results and analysis are used to provide better interpretation of the experiment. The models are form from analysis of variance (ANOVA) method and the model passed the tests for normality and independence assumptions.
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Authors and Affiliations

Haliza Jaya
1 2
ORCID: ORCID
Nik Noriman Zulkepli
1 2
ORCID: ORCID
Mohd Firdaus Omar
1 2
ORCID: ORCID
Shayfull Zamree Abd Rahim
1 3
ORCID: ORCID
Marcin Nabiałek
4
ORCID: ORCID
Kinga Jeż
4
ORCID: ORCID
Mohd Mustafa Al Bakri Abdullah
1 2
ORCID: ORCID

  1. Universiti Malaysia Perlis, Centre of Excellence Geopolymer and Green Technology (CeGeoGTech), 02600 Arau, Perlis, Malaysia
  2. Universiti Malaysia Perlis (UniMAP), Faculty of Chemical Engineering Technology, Kompleks Pengajian Jejawi 2, 02600 Arau, Perlis, Malaysia
  3. Universiti Malaysia Perlis (UniMAP), Faculty of Mechanical Engineering Technology, Kampus Alam Pauh Putra, 02600 Arau, Perlis, Malaysia
  4. Częstochowa University of Technology, Department of Physics, 42-200 Częstochowa, Poland
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Abstract

The wear behaviour of Cr3C2-25% NiCr laser alloyed nodular cast iron sample were analyzed using a pin-on-disc tribometer. The influence of sliding velocity, temperature and load on laser alloyed sample was focused and the microscopic images were used for metallurgical examination of the worn-out sites. Box-Behnken method was utilised to generate the mathematical model for the condition parameters. The Response Surface Methodology (RSM) based models are varied to analyse the process parameters interaction effects. Analysis of variance was used to analyse the developed model and the results showed that the laser alloyed sample leads to a minimum wear rate (0.6079×10–3 to 1.8570×10–3 mm3/m) and coefficient of friction (CoF) (0.43 to 0.53). From the test results, it was observed that the experimental results correlated well with the predicted results of the developed mathematical model.

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Authors and Affiliations

N. Jeyaprakash
M. Duraiselvam
R. Raju
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Abstract

The development of industry is determined by the use of modern materials in the production of parts and equipment. In recent years, there has been a significant increase in the use of nickel-based superalloys in the aerospace, energy and space industries. Due to their properties, these alloys belong to the group of materials hard-to-machine with conventional methods. One of the non-conventional manufacturing technologies that allow the machining of geometrically complex parts from nickel-based superalloys is electrical discharge machining. The article presents the results of experimental investigations of the impact of EDM parameters on the surfaces roughness and the material removal rate. Based on the results of empirical research, mathematical models of the EDM process were developed, which allow for the selection of the most favourable processing parameters for the expected values of the surface roughness Sa and the material removal rate.

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Bibliography

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Authors and Affiliations

Rafał Świercz
1
Dorota Oniszczuk-Świercz
1
Lucjan Dąbrowski
1

  1. Warsaw University of Technology, Institute of Manufacturing Technology, Warsaw, Poland.
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Abstract

In the paper, the authors discuss the construction of a model of an exemplary urban layout. Numerical simulation has been performed by means of a commercial software Fluent using two different turbulence models: the popular k-ε realizable one, and the Reynolds Stress Model (RSM), which is still being developed. The former is a 2-equations model, while the latter – is a RSM model – that consists of 7 equations. The studies have shown that, in this specific case, a more complex model of turbulence is not necessary. The results obtained with this model are not more accurate than the ones obtained using the RKE model. The model, scale 1:400, was tested in a wind tunnel. The pressure measurement near buildings, oil visualization and scour technique were undertaken and described accordingly. Measurements gave the quantitative and qualitative information describing the nature of the flow. Finally, the data were compared with the results of the experiments performed. The pressure coefficients resulting from the experiment were compared with the coefficients obtained from the numerical simulation. At the same time velocity maps and streamlines obtained from the calculations were combined with the results of the oil visualisation and scour technique.

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Bibliography

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Authors and Affiliations

Mateusz Jędrzejewski
1
Marta Poćwierz
1
Katarzyna Zielonko-Jung
2

  1. Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Warsaw, Poland
  2. Warsaw University of Technology, Faculty of Architecture, Warsaw, Poland

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