Quality Diagnosis and Error Compensation Based on Integrated SPC/EPC in MMPs

2011 ◽  
Vol 314-316 ◽  
pp. 415-418
Author(s):  
Jia Feng ◽  
Ping Yu Jiang
Keyword(s):  
Error Compensation ◽  
Error Propagation ◽  
Control Method ◽  
Propagation Model ◽  
Machining Process ◽  
Machining Processes ◽  
Machining Error ◽  
Mapping Model ◽  
Propagation Network ◽  
Quality Diagnosis

In the multistage machining processes (MMPs), SPC is widely utilized to control the quality of machining processes and diagnose the processing error. But there is a defect, that it can not compensate the error when the machining process is abnormal. For this issue, a new method of quality diagnosis and error compensation is proposed based on EPC (engineering process control). A new framework for processes quality diagnosis and error compensation about the description of machining processes and controlling mechanism of machining process quality is proposed first. And the mapping model of machining error propagation is introduced to explore the model of the error compensation decision. From theoretical level, modeling level and solution level, the mapping model from the decision model based on EPC to SPC is studied, in which the key technologies are the machining error propagation model and the error compensation model. Therefore, the machining error propagation network is utilized to build the error propagation model, and an adaptive control method based on the stability theory is introduced to make error coordination optimization.

Study on Machining Error Propagation for Multistage Processes

2007 ◽  
Vol 10-12 ◽  
pp. 379-384 ◽  
Author(s):  
D.Y. Liu ◽  
Ping Yu Jiang ◽  
L. Guo
Keyword(s):  
Error Propagation ◽  
Machining Process ◽  
Monitoring And Control ◽  
Transition Matrices ◽  
Machining Processes ◽  
Machining Error ◽  
Multistage Processes ◽  
Machining Feature ◽  
Machining System ◽  
And Control

Digital action mechanism of machining error propagation has been a hot research topic in recent years. A complicated machining system usually contains multiple stages. Basing on analyzing digital behaviors of machining process flow, a methodology of machining error monitoring and control is put forward, which is based on dynamic programming. Under this framework, state of machining feature is described with vector matrices, and then differential transition matrices are used to represent the influences of error sources on machining feature quality of workpiece. Basing on this, a general error propagation equation is derived. At last, an example of a three-stage machining processes is presented to illustrate the proposed methodology.

Error propagation model and optimal control method for the quality of remanufacturing assembly

2021 ◽  
pp. 1-15
Author(s):  
Wenyi Li ◽  
Cuixia Zhang ◽  
Conghu Liu ◽  
Xiao Liu
Keyword(s):  
Optimal Control ◽  
Quality Control ◽  
Error Propagation ◽  
Control Method ◽  
State Space Model ◽  
Propagation Model ◽  
Initial State ◽  
Work In Process ◽  
Optimal Control Method

In order to improve the quality of remanufacturing assembly with uncertainty for the sustainability of remanufacturing industry, an error propagation model of the remanufacturing assembly process and its optimal control method are established. First, the state space model of error propagation is established by taking the work-in-process parameter errors of each process as the initial state of the procedure and the parameters of remanufactured parts and operation quantities as the input. Then, the quality control issue of remanufacturing assembly is transformed into a convex quadratic programming with constraints based on this model. Finally, the proposed method is used to control the remanufactured-crankshaft assembly quality. The experimental results show that the axial-clearance consistency and the crankshaft torque are improved, and the one-time assembly success rate of a remanufactured crankshaft is increased from 96.97%to 99.24%. This study provides a theoretical model and method support for the quality control of remanufacturing assembly and has a practical effect on improving the quality of remanufactured products.

Quality Control System for Short-Runs Based on Machining Error Propagation Network

2011 ◽  
Vol 403-408 ◽  
pp. 2751-2754
Author(s):  
Xue Liang Zhou ◽  
Ping Yu Jiang ◽  
Mei Zheng
Keyword(s):  
Quality Control ◽  
Control System ◽  
Error Propagation ◽  
Fuzzy Inference ◽  
Quality Control System ◽  
Machining Error ◽  
Modeling And Analysis ◽  
Analysis Error ◽  
Key Enabling Technologies ◽  
Propagation Network

To solve problems concerning the process quality control of short-runs, a framework of quality control system for short-runs is put forward, and corresponding functional modules and working mechanism are also studied. The system is established on the foundation of machining error propagation network (MEPN), and quality control and improvement can be implemented by analyzing the dynamic characteristics of MEPN. In addition, some key enabling technologies, including MEPN modeling and analysis, error source diagnosis based on fuzzy inference as well as error coordination and optimization, were discussed in detail.

Machining Accuracy Analysis and Error Compensation Approach with the Effects of Cutting Tool Tip’s Radius in NC Lathe Machining Process

2011 ◽  
Vol 84-85 ◽  
pp. 352-357
Author(s):  
Bin Cheng ◽  
Li Zhi Gu ◽  
Qi Hong
Keyword(s):  
Error Compensation ◽  
Contact Point ◽  
Machining Process ◽  
Machining Accuracy ◽  
Machining Error ◽  
Tool Positioning ◽  
Compensation Methods ◽  
Compensation Approach ◽  
Lathe Tool ◽  
The Way

With the wide use of NC, higher accuracy in machining is increasingly required for premium mechanical components. However, machining accuracy is affected by many factors, especially by the way of the tool positioning and the geometry of the tool nose. This paper, based on the actual NC lathe tool and turning, generalized and abstracted the machining process by establishing the imaginary tool nose and the tool tip’s arc centre as the cutter-contact point, and analyzed systematically the influence of the factors, including the way of the tool positioning, the nose, and the tool tip’s arc radius, on the machining accuracy when machining transverse, cylindrical-surface, circular cone, quarter-circular and some surfaces can be expressed by formula etc.. Derived the error calculating formulas for turning in different surfaces. Put forward two error compensation methods, direct calculating method and enveloping method of error compensation. Experiments were carried out and results have shown that the two error compensation methods can considerably reduce the machining error in NC turning operations.

Sign in / Sign up

Export Citation Format

Share Document