Closed-Loop Stiffness Modeling and Stiffness Performance Analysis for Multi-axis Process System

Int J Adv Manuf Technol

et al. 2022

Adaptive CNC machining process is one of the efficient processing methods for near-net-shaped blade, this study proposes an adaptive CNC machining process optimization scheme based on multi-source and multi-process machining errors data flow control. The multi-process machining geometric error and mechanical models of the multi-process adaptive CNC machining process are firstly constructed. The machining error flow collaborative control of the near-net-shaped blade multi-process CNC machining is realized by the adaptive CNC machining process. The results show that the dynamic displacement response of the blade multi-process CNC machining process is controlled within 0.007mm. The optimized adaptive CNC machining process can realize the multi-process machining error control and high-precision manufacturing of near-net-shaped blade based on the multi-process geometric machining error data flow control and the sufficient stiffness of blade-fixture system. The process chain of the optimized adaptive CNC machining process based on machining error data flow control is reduced by 87% compared with the low melting point alloy pouring process, and 50% compared with adaptive CNC machining process of the twice on-machine measurement on the blade body.

Section: Fig 2 the Process Flow Of Low Melting Point Alloy Pouring Pr...mentioning

confidence: 99%

Section: Tool Path Adjustmentmentioning

confidence: 99%

Adaptive CNC machining process optimization of near-net-shaped blade based on machining error data flow control

Int J Adv Manuf Technol

et al. 2022

“…Abdul Wahid Khan et al [7] proposed a systematic machining geometric error model, and the machining accuracy was improved through machine tool error identification and analysis. Yan Rong et al [8] studied the comprehensive stiffness matrix of the overall machining system including the machining parts, machining tools, machining tool spindle, and the cutter, and the stiffness variation laws of the machining system in multi-axis machining of complex curved surfaces was analyzed to improve the machining accuracy through process planning. The above-mentioned studies started with the stiffness of the machining system, with consideration of the stiffness enhancement method and deformation suppression of the entire machining system, which could improve the machining accuracy based on the deformation control for a thin-walled blade weak stiffness machining system.…”

Section: Introductionmentioning

confidence: 99%

Research on machining error transmission mechanism and compensation method for near-net-shaped jet engine blades CNC machining process

Int J Adv Manuf Technol

Yu³

2021

This study proposes an adaptive CNC machining process based on onmachine measurement to control the machining error of near-net-shaped blades. The multi-source and multi-process machining error transmission model of a near-netshaped blade is established, and the reduction effect of the machining error transmission chain by the adaptive CNC machining process is qualitatively analyzed based on the machining error transmission flow model. The effects of the adaptive CNC machining process on the positioning benchmark error, machining position error, and machining contouring error are explored based on an experiment for the adaptive CNC machining process. In particular, the ability of the adaptive CNC machining process to cooperatively control the blade position error and the contouring error is discussed in relation to the stiffness of the blade-fixture system. The results show that the adaptive CNC machining process can reasonably reduce the machining errors caused by the positioning benchmark. The final deviation band of the blade body is reduced by 60% based on this adaptive CNC machining process. The adaptive CNC machining process can optimize the contouring error and the position error of the blade tenon root with only the stiffness of the blade-fixture system prerequisite being ensured. The adaptive CNC machining process has the excellent ability to control machining errors to improve the machining quality of the blade.

“…calculated the error transfer based on the Jacobian matrix based on small displacement torsor (SDT). Rong et al [7] comprehensively explained the influence of positioning error on the machining accuracy, and established a complete geometric positioning error calculation and sensitive factor analysis model. Mantripragada et al [8] proposed a state transition model for the deviation transfer of a multi-process manufacturing system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive CNC Machining Process Optimization of Near- net- shaped Blade based on Machining Error data Flow Control

et al. 2021

Preprint

Adaptive CNC machining process is one of the efficient processing solution for near- net- shaped blade, this study proposes an adaptive computer numerical control (CNC) machining process optimization scheme based on multi-process machining errors data flow control. The geometric and mechanical models of the multi-process adaptive CNC machining process are firstly constructed. The multi-process machining error data flow and the process system stiffness of near- net- shaped blade are then experimentally explored. The machining error flow collaborative control of the near- net- shaped blade multi-process CNC machining is finally realized by the adaptive CNC machining process under the premise of sufficient stiffness of the blade- fixture system. The results show that the dynamic displacement response of the blade multi-process CNC machining process is controlled within 0.007mm. The optimized adaptive CNC machining process based on the multi-process geometric machining error data flow control and the sufficient stiffness of blade- fixture system can realize the multi-process machining error control and high-precision machining of near- net- shaped blade. The process chain of the optimized adaptive CNC machining process is reduced by 87% compared with the low melting point alloy pouring process and 50% compared with adaptive CNC machining process of the twice on-machine measurement on the blade body.