Machinability model and multi-response optimization of process parameters through regression and utility concept

2020 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Rabin Kumar Das ◽  
Ramesh Kumar Nayak ◽  
Ramanuj Kumar ◽  
Bijaya Bijeta Nayak ◽  
Ashok Kumar Sahoo ◽  
...  
Keyword(s):  
Process Parameters ◽  
Utility Concept ◽  
Optimization Of Process Parameters ◽  
Response Optimization

scholarly journals Multi Response Optimization of Process Parameters during Machining of Aluminium by Satisfaction Function

2019 ◽  
Vol 8 (3) ◽  
pp. 8591-8596
Keyword(s):  
Process Parameters ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Satisfaction Function ◽  
Performance Factors ◽  
Optimization Of Process Parameters ◽  
Lathe Machine ◽  
Response Optimization ◽  
Manufacturing Environments

Economical machining operation plays an important part in competitiveness in the industries therefore selection of optimum cutting parameters is of great concern in manufacturing environments. The current research is aimed at fixing the optimal process parameters for hard turning of aluminum in CNC lathe machine using carbide tool as per the machinability aspects. On the basis of three-factor-three-level L9 orthogonal array, trials are performed by varying the manageable process constraints which are spindle speed, depth of cut and feed rate. Performance of machining has been figured by several responses like Surface Roughness and Material Removal Rate. Towards optimization above mentioned performance factors are treated as purpose functions, assuming that it corresponds to Higher-is-better and Lower-is-Better requirement respectively. Satisfaction function approach is used in this paper to find out satisfactions of individual responses enabling gathering of multi-responses into a comparable sole index

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