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Prof Richard (Chunhui) Yang
Prof Richard Yang is the Interim Dean, School of Engineering, Director, Centre for Advanced Manufacturing Technology and Head of Discipline, Mechanical and Mechtronic Engineering, Faculty of Engineering, Computing and Science, Western Sydney University. His research fields include Mechanical Engineering, Manufacturing Engineering, advanced Manufacturing, Additive Manufacturing/3D Printing, Digital Twin, Industry 4.0, Mechanical Design, Engineering Numerical Methods, Multiscale Modelling Techniques, etc.
2026-10-23
2026-08-17
2026-06-18
Abstract—With the growing concerns of environmental contamination around the globe, various steps are being taken now-a-days to prevent it. Along with other sources, manufacturing processes also play a vital role in contaminating the environment. So green or eco friendly cutting, is the need of the hour. Cutting fluid is one of the greatest contributors of environmental pollution. Apart from contaminating the land and water sources, it poses a direct threat to the operator’s health. Prolonged use of cutting fluid results in a number of lethal diseases ranging from skin disease to respiratory diseases. Here in this paper, with the help of Analytical Hierarchy Process (AHP), a decision support system is developed in the unstructured environment to select the optimum cutting fluid which will result in least environmental impacts. Three cutting fluids are considered for the purpose and the one with most favourable qualities is considered as the optimum cutting fluid which will favour green manufacturing. The proposed model considers the most important objective factors such as: Environmental impact (E), Cost (C) and Qualities (Q). The aim is to reduce E and C while increasing Q. Index Terms—Analytical Hierarchy Process (AHP), Green Manufacturing (GM), Multi Criteria Decision Making (MCDM)
Cite: Tuhin Deshamukhya and Amitava Ray, "Selection of Cutting Fluid for Green Manufacturing Using Analytical Hierarchy Process (AHP): A Case Study," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 1, pp. 173-182, January 2014.