Response surface and neural network based predictive models of cutting temperature in hard turning
Author:
Funder
Directorate of Advisory Extension and Research Services (DAERS), BUET, Bangladesh
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference30 articles.
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2. An improved three-dimensional inverse heat conduction procedure to determine the tool-chip interface temperature in dry turning;Liang;Int J Therm Sci,2013
3. A novel numerical modeling approach to determine the temperature distribution in the cutting tool using conjugate heat transfer (CHT) analysis;Pervaiz;Int J Adv Manuf Technol,2015
4. Investigation of effects of nanofluids on turning of AISI D2 steel using minimum quantity lubrication;Sharma;J Clean Prod,2015
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