Automated generation of CNC programs for manufacturing of individualized products
| Autor: | Stefan Seifermann, Carsten Schaede, Joachim Metternich |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science media_common.quotation_subject Decision tree 02 engineering and technology 010501 environmental sciences 01 natural sciences Manufacturing engineering Parametric design 020901 industrial engineering & automation By-product General Earth and Planetary Sciences Production (economics) Quality (business) Relevance (information retrieval) Product (category theory) Lead time 0105 earth and related environmental sciences General Environmental Science media_common |
| Zdroj: | Procedia CIRP. 72:1251-1257 |
| ISSN: | 2212-8271 |
| DOI: | 10.1016/j.procir.2018.03.064 |
| Popis: | Companies are facing an increasing demand for individualized products. Thereby, the relevance of make-to-order (MTO) production systems rises. Product configuration systems and parametric design models have been established in MTO production environments to enable efficient manufacturing of individual variants towards the quantity of one piece. High potential for further improvements of lead time, cost and quality is offered by the automated generation of the individual CNC programs. This research focuses on CNC program generation based on parameters supplied by product configuration systems. Different approaches are described and characterized. A decision tree for automated CNC program generation is presented. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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