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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

Electrical discharge machining of difficult to cut materials

Rafał Świercz Dorota Oniszczuk-Świercz Lucjan Dąbrowski

Archive of Mechanical Engineering | 2018 | vol. 65 | No 4 | 461-476 | DOI: 10.24425/ame.2018.125437

Keywords EDM Inconel 718 surface roughness material removal rate Response surface methodology (RSM)

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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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Authors and Affiliations

Rafał Świercz

Dorota Oniszczuk-Świercz

Lucjan Dąbrowski

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

Optimization of Injection Moulding Process via Design of Experiment (DOE) Method based on Rice Husk (RH) Reinforced Low Density Polyethylene (LDPE) Composite Properties

Haliza Jaya Nik Noriman Zulkepli Mohd Firdaus Omar Shayfull Zamree Abd Rahim Marcin Nabiałek Kinga Jeż Mohd Mustafa Al Bakri Abdullah

Archives of Metallurgy and Materials | 2022 | vol. 67 | No 2 | 719-727 | DOI: 10.24425/amm.2022.137810

Keywords injection moulding Design of Experiments (DOE) Central Composite Design response surface methodology (RSM) shrinkage tensile strength

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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

e-mail:

ORCID:

Nik Noriman Zulkepli

1 2

e-mail:

ORCID:

Mohd Firdaus Omar

1 2

e-mail:

ORCID:

Shayfull Zamree Abd Rahim

1 3

e-mail:

ORCID:

Marcin Nabiałek

e-mail:

ORCID:

Kinga Jeż

e-mail:

ORCID:

Mohd Mustafa Al Bakri Abdullah

1 2

e-mail:

ORCID:

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

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ANALYSIS OF FACTORS INFLUENCING DRY SLIDING WEAR BEHAVIOUR OF LASER REMELTED PLASMA SPRAYED Mo COATING USING RESPONSE SURFACE METHODOLOGY

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Modelling of Cr3C2-25% NiCr Laser Alloyed Cast Iron in High Temperature Sliding Wear Condition Using Response Surface Methodology

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Electrical discharge machining of difficult to cut materials

Abstract

Bibliography

Authors and Affiliations

Optimization of Injection Moulding Process via Design of Experiment (DOE) Method based on Rice Husk (RH) Reinforced Low Density Polyethylene (LDPE) Composite Properties

Abstract

Authors and Affiliations