An intelligent approach for the prediction of surface roughness in ball-end machining of polypropylene

Authors:
Vimal G. Dhokia;Sanjeev Kumar;Parag Vichare;Stephen T. Newman
Affiliations:
Department of Mechanical Engineering, The University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, The University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, The University of Bath, Bath BA2 7AY, UK;Department of Mechanical Engineering, The University of Bath, Bath BA2 7AY, UK
Venue:
Robotics and Computer-Integrated Manufacturing
Year:
2008

Citing 4
Cited 2

A simulation system for improving machining accuracy in milling

Computers in Industry
A user-centered design approach to personalization

Communications of the ACM
AllelesLociand the Traveling Salesman Problem

Proceedings of the 1st International Conference on Genetic Algorithms
Solving Part-Type Selection and Operation Allocation Problems in an FMS: An Approach Using Constraints-Based Fast Simulated Annealing Algorithm

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

A process control system for cryogenic CNC elastomer machining

Robotics and Computer-Integrated Manufacturing
Prediction of surface roughness when end milling Ti6Al4V alloy using adaptive neurofuzzy inference system

Modelling and Simulation in Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

Manufacturing paradigms over the last 150 years have changed from craft production, to mass production and now to mass customisation. One further extension of mass customisation is personalised manufacture, which is the concept of providing bespoke products to the individual consumer. As a result this has brought about the need for a greater degree of sophistication in manufacturing practises and the technologies employed. This bespoke form of manufacture of consumer goods is now being pursued on CNC machining centres as opposed to the alternative of highly expensive rapid prototyping methods. The problem with this form of manufacture is that the products are generally free formed objects which require sophisticated setups and machining. Ball-end machining is a method used to create cusp-type geometry, which is employed on CNC machines to create sculptured surfaces. The objective of this research is to provide a predictive model using a design of experiments strategy to obtain optimised machining parameters for a specific surface roughness in ball-end machining of polypropylene. This paper reports on new manufacturing knowledge to machine polypropylene using ball-end tooling in order to generate personalised sculptured surface products.