Vishnu, VS and Varghese, KG and Gurumoorthy, B (2020) Energy prediction in process planning of five-axis machining by data-driven modelling. In: Procedia CIRP, 1 - 3 July 2020, Chicago, pp. 862-867.
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Abstract
Process planning for a computer numerical control (CNC) machining is a multi-objective decision-making activity. A process planner defines machining set-up along with operation-sequencing at macro-level and decides toolpath strategies with its cutting parameters at micro-level. This paper proposes a data driven model that enables consideration of energy consumption also as a decision-making criterion during process planning for five-axis machining. A two-stage predictive energy model with an intermediate stage of exact feed prediction is proposed for machining on a five-axis machine. A process planner can use this model to choose optimal machining conditions that minimizes energy consumption during five-axis machining. © 2020 The Authors.
| Item Type: | Conference Paper |
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| Publication: | Procedia CIRP |
| Publisher: | Elsevier B.V. |
| Additional Information: | The copyright for this article belongs to the Author(s). |
| Keywords: | Computer control systems; Decision making; Energy utilization; Manufacture; Process planning, Computer numerical control machining; Cutting parameters; Data driven modelling; Decision making criteria; Five-axis machines; Five-axis machining; Multi objective decision making; Operation sequencing, Predictive analytics |
| Department/Centre: | Division of Mechanical Sciences > Mechanical Engineering |
| Date Deposited: | 24 Jan 2023 04:24 |
| Last Modified: | 24 Jan 2023 04:24 |
| URI: | https://eprints.iisc.ac.in/id/eprint/79290 |
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