Journal ArticleDOI
Analysis and Optimization of Surface Roughness and Microhardness for Roller Burnishing using Response Surface Methodology and Desirability Function Approach on Aluminum 63400
Vijay Kurkute,Sandip T. Chavan +1 more
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TLDR
In this article, response surface methodology (RSM) has been used to optimize roller burnishing process for aluminum alloy 63400 grade for single roller burnish tool (carbide) is used to burni...Abstract:
In the present study, response surface methodology (RSM) has been used to optimize roller burnishing process for aluminum alloy 63400 grade. Single roller burnishing tool (carbide) is used to burni...read more
Citations
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Journal ArticleDOI
Statistical and Intelligent Techniques for Modeling and Optimization of Duplex Turning for Aerospace Material
TL;DR: The results show that ANN model predicts the data with more precision than RSM model, and the optimal data are experimentally validated and significantly agreed with predicted data of ANN model.
References
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Journal ArticleDOI
An Investigation into Roller Burnishing
TL;DR: In this paper, the influence of different burnishing conditions on both surface microhardness and roughness was investigated, namely, burnishing speed, force, feed, and number of passes.
BookDOI
Handbook of Design and Analysis of Experiments
TL;DR: General Principles History and Overview of Design and Analysis of Experiments Klaus Hinkelmann Introduction to Linear Models Linda M. Haines Designs for Linear Models Blocking with Independent Responses John P. Morgan Crossover Designs Mausumi Bose and Aloke Dey Response Surface Experiments and Designs.
Journal ArticleDOI
Modeling and experimental validation of the force–surface roughness relation for smoothing burnishing with a spherical tool
TL;DR: In this paper, the effect of the initial roughness of a workpiece on the smoothing-burnishing process is considered and an approximation of the optimum burnishing force with respect to the geometry of the contact area between the tool and the workpiece is given.
Journal ArticleDOI
Burnishing force and number of ball passes for the optimum surface finish of brass components
TL;DR: In this paper, a mathematical model was established to correlate the most pronounced parameters, i.e., the burnishing force and the number of tool passes, with the surface finish, and the model predicted that an optimum surface finish of 0.172 μm can be obtained when burnishing at a force of 20.7 kgf (203 N).
Related Papers (5)
Modeling and Optimization of surface roughness and microhardness for roller burnishing process using response surface methodology for Aluminum 63400 alloy
Vijay Kurkute,Sandeep T. Chavan +1 more