An intelligent approach for the prediction of surface roughness in ball-end machining of polypropylene
Dhokia, V. G., Kumar, S., Vichare, P. and Newman, S. T., 2008. An intelligent approach for the prediction of surface roughness in ball-end machining of polypropylene. Robotics and Computer-Integrated Manufacturing, 24 (6), pp. 835-842.
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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.
|Creators||Dhokia, V. G., Kumar, S., Vichare, P. and Newman, S. T.|
|Departments||Faculty of Engineering & Design > Mechanical Engineering|
|Research Centres||Innovative Design & Manufacturing Research Centre (IdMRC)|
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