Optimization of Machining Process Parameters for Minimizing the Waste Stream Response through Multi-Objective Optimization

2019-28-0062

10/11/2019

Event
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility
Authors Abstract
Content
During the delivering of an item, any material created moreover to a definitive item will be named as waste. The waste produced in light of machining could be a notable conservation worry for creators. The shape and condition of waste streams created, and their transportation components divergence with the strategy utilized and also shift among the technique. The effect in view of each waste stream differs as well. This examination reports a machining strategy includes the procedure of material to give a completed or a semi-completed item. This is frequently done by misapplication tools, totaling, machines and distinctive data sources that are appropriate to the strategy. The procedures thought of for the point of this work includes machining of material manipulation devices to give parts and items. The yield of the technique incorporates the item and increase the waste streams. The waste streams will be in the form of Chips, Energy usage, and Worn cutting tools and Operating time. TOPSIS and ANOVA was acclimated gauge the chief essential Cutting speed, Feed rate, Depth of Cut and Tool Nose Radius conditions that influencing the Minimum Response. The most support effect of the info factors on the normal reactions is researched. The normal esteems and estimated esteems are genuinely close. The given model may be acclimated pick the measure of machining process parameters.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-28-0062
Pages
10
Citation
Sivam Sundarlingam Paramasivam, S., Loganathan, G., Saravanan, K., Kumaran, D. et al., "Optimization of Machining Process Parameters for Minimizing the Waste Stream Response through Multi-Objective Optimization," SAE Technical Paper 2019-28-0062, 2019, https://doi.org/10.4271/2019-28-0062.
Additional Details
Publisher
Published
Oct 11, 2019
Product Code
2019-28-0062
Content Type
Technical Paper
Language
English