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

2021 ◽  
Vol 11 (3) ◽  
pp. 390
Author(s):  
Ashok Kumar Sahoo ◽  
Amlana Panda ◽  
Bijaya Bijeta Nayak ◽  
Ramanuj Kumar ◽  
Rabin Kumar Das ◽  
...  
Keyword(s):  
Process Parameters ◽  
Utility Concept

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

Multiresponse Optimization of Fused Deposition Modeling Process Using Utility-Based Taguchi Approach

2018 ◽  
Vol 17 (04) ◽  
pp. 551-568 ◽  
Author(s):  
Saurabh Verma ◽  
Vedansh Chaturvedi
Keyword(s):  
Layer Thickness ◽  
Process Parameters ◽  
Fused Deposition Modeling ◽  
Optimum Process ◽  
Utility Concept ◽  
Fused Deposition ◽  
Multiresponse Optimization ◽  
Raster Angle ◽  
Deposition Modeling ◽  
Part Orientation

Rapid Prototyping (RP) technology has become the powerful tool for product development in almost every branch of engineering. Many new and upcoming processes offer means for the fast creation of models with steadily increasing accuracy, built speed, other model properties and economic advantages. Fused Deposition Modeling (FDM) is the most famous and commercially available RP system. This paper presents the application of Utility concept with Taguchi method for multiresponse optimization of the FDM process. Stratatys Fortus 400[Formula: see text]mc FDM setup is used to conduct experiments as per Taguchi’s L9 orthogonal array. FDM parameters: Layer thickness, part orientation and raster angle were optimized based on multiple responses, i.e. tensile, flexural, impact and compressive strength. The optimum process parameters are calculated using utility concept. The Analysis of variance (ANOVA) is applied to find out the most significant factor. It has been found that layer thickness is the most significant factor, followed by part orientation and raster angle. The confirmation tests with optimal levels of process parameters are conducted to illustrate the efficacy of the proposed method. It is found that optimum combination of process parameters gives the highest utility value, which indicates that multiresponses of the FDM process can be improved through this approach.

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