Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Selection of Optimal Sequence of Cutting Tool Positions on CNC Magazines


Affiliations
1 Dept. of Mechanical Engg., J. N. T. University, College of Engg., Kakinada, India
     

   Subscribe/Renew Journal


Generation of optimal index positions of cutting tools is an important task to reduce the non-machining time of CNC machines and for achievement of optimal process plans. The optimization model for selecting the optimal sequence forms an NP-hard problem, which is too difficult to solve by the conventional algorithms. The present work proposes the application of a newly developed global search technique, called ants-colony algorithm, for the quick identification of optimal index positions of cutting tools to be used on the tool magazines of CNC machines for executing a fixed set of manufacturing operations. Minimization of total indexing time is taken as the objective function.
User
Subscription Login to verify subscription
Notifications
Font Size

Abstract Views: 222

PDF Views: 0




  • Selection of Optimal Sequence of Cutting Tool Positions on CNC Magazines

Abstract Views: 222  |  PDF Views: 0

Authors

A. Gopala Krishna
Dept. of Mechanical Engg., J. N. T. University, College of Engg., Kakinada, India

Abstract


Generation of optimal index positions of cutting tools is an important task to reduce the non-machining time of CNC machines and for achievement of optimal process plans. The optimization model for selecting the optimal sequence forms an NP-hard problem, which is too difficult to solve by the conventional algorithms. The present work proposes the application of a newly developed global search technique, called ants-colony algorithm, for the quick identification of optimal index positions of cutting tools to be used on the tool magazines of CNC machines for executing a fixed set of manufacturing operations. Minimization of total indexing time is taken as the objective function.