Machining model generation method of cutting force prediction through transfer learning

• Main Authors: KIM HYEIN, KOO JEONGIN
• Format: Patent
• Language: English; Korean
• Published: 12.05.2022
• Subjects: CALCULATING; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MACHINE TOOLS; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS; METAL-WORKING NOT OTHERWISE PROVIDED FOR; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PERFORMING OPERATIONS; PHYSICS; REGULATING; TRANSPORTING

The present invention relates to a processing prediction model generation model by using first monitoring data and second monitoring data respectively, which have different processing conditions. The present invention includes at least one cutting tool including a plurality of blade tools mounted to a spindle and generates a processing prediction model for estimating a cutting force of a cutting processing device that cuts a material to be cut. 본 발명은 스핀들에 장착되는 다수의 공구날을 포함하는 하나 이상의 절삭 공구를 포함하여, 피삭재를 절삭하는 절삭 가공 기기의 절삭력을 추정하기 위한 가공 예측 모델을 생성하되, 공정 조건이 다른 제1 모니터링 데이터와 제2 모니터링 데이터를 이용하여 각각 가공 예측 모델을 생성하는 방법에 관한 것이다.