Taguchi’s design optimization for finishing of plane surface with diamond-based sintered magnetic abrasives

Gill, Jatinder; Singh, Palwinder; Singh, Lakhvir

doi:10.1088/2631-8695/ac7d40

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Box Behnken design was developed for single, multi parameter optimisation for machining of Incoloy 800H using Wire EDM [24]. Taguchi optimisation was done with the aid of ANOVA for various parameters in Magnetic assisted abrasive machining [25].…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

2023

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Cold Metal Transfer welding (CMT) was used to join SS304L plates by means of SS308L MIG wire. The effects of current, distance between nozzle and tip, welding speed on strength, hardness and surface roughness of welded zone in the CMT process by means of response surface methodology were studied in this work. The outcomes show that Current is having significant effect on the outputs. Also current interacting with weld speed is showing it’s mark on the output variables like tensile strength, hardness and surface roughness. Finally optimal results are found and the experimental values are in coincidence with the predicted values.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

2023

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Optimization Algorithms and Their Applications and Prospects in Manufacturing Engineering

Song,

Wang,

Hao

2024

Materials

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In modern manufacturing, optimization algorithms have become a key tool for improving the efficiency and quality of machining technology. As computing technology advances and artificial intelligence evolves, these algorithms are assuming an increasingly vital role in the parameter optimization of machining processes. Currently, the development of the response surface method, genetic algorithm, Taguchi method, and particle swarm optimization algorithm is relatively mature, and their applications in process parameter optimization are quite extensive. They are increasingly used as optimization objectives for surface roughness, subsurface damage, cutting forces, and mechanical properties, both for machining and special machining. This article provides a systematic review of the application and developmental trends of optimization algorithms within the realm of practical engineering production. It delves into the classification, definition, and current state of research concerning process parameter optimization algorithms in engineering manufacturing processes, both domestically and internationally. Furthermore, it offers a detailed exploration of the specific applications of these optimization algorithms in real-world scenarios. The evolution of optimization algorithms is geared towards bolstering the competitiveness of the future manufacturing industry and fostering the advancement of manufacturing technology towards greater efficiency, sustainability, and customization.

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Taguchi’s design optimization for finishing of plane surface with diamond-based sintered magnetic abrasives

Cited by 2 publications

References 26 publications

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

Experimental investigation and process parameter optimization in cold metal transfer welding for SS304L using response surface method

Optimization Algorithms and Their Applications and Prospects in Manufacturing Engineering

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