A Review on Multi Objective Optimization in Turning Using Goal Programming and Taguchi Technique on CNC Lathe
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
The Call Of Recent Time Is To Make Precise And Dimensionally Accurate Product To Sustain In Competitive Market. In Machining Process, Surface Finish Is One Of The Most Significant Technical Requirements Of The Customer [1].So, Quality Of The Product Is In Direct Relation To The Surface Finish And Ultimately Life Of Product. Surface Finish Is Very Difficult To Control By Just Experience Or Gambling Due To Lots Of Factors Involvement (Eg. Feed, Depth Of Cut, Speed, Tool Wear, Temp.Etc). There Are Various Disciplines Available To Us Like Taguchi, Full Factorial Design, Surface Response Method, Genetic Algorithm, Min-Max Method, Fuzzy Logic, Scatter Search Technique, Particle Swarm Optimization (PSO), Goal Programming, Etc. In Modern Manufacturing Trades The Quality Of Product, Cost Of Process And Less Marching Time Are Main Factor Of The Industries. Taguchi Techniques And Goal Programming Are Developed To Make Product Least Sensitive To The Noise Factors And Achieve Optimal Response For Given Set Of Input Parameters. Complexity In Cutting Processes Increased Substantially, Researchers And Practitioners Have Focused On Mathematical Modelling Techniques To Determine Optimal Or Near-Optimal Cutting Condition [2]. Thus, Taguchi Technique Will Help Us To Optimize The Parameters Using Matrix Design And ANOVA And Goal Programming Will Give Us Mathematical Model Of The Experiments. This Review Paper Is Attempt To Evaluate Importance Of Different Optimization Techniques To Acquire Controlled Surface Finish, High MRR And Optimal Tool Life Using CNC Lathe.
Authors and Affiliations
Sufiyan Mansuri, Safik Ghanchi, Pragnesh Rana, Zankar Modhiya, Manoj Kumar Pal
Keywords
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