A New Prediction Model for Thermally Induced Errors of a Turning Center

2014 ◽  
Vol 625 ◽  
pp. 411-416
Author(s):  
Hua Wei Chi ◽  
Yo Ren Lin

Thermally induced errors and geometric errors are two main sources that affect the machine tool accuracy when machining. In the last decade, real time compensation method had received wide attention for its ability to reduce the thermal error cost–effectively. Although real-time thermal error compensation techniques have been successfully demonstrated in laboratories, several difficulties hinder its widespread application. The selection of temperature variables and the setup of the error measurement system are the most critical ones among these difficulties. In this paper, a new on line measurement system and a new model that predicts the thermal error of a turning center are developed. The on-line measurement system using a Renishaw’s LT02S probe system is capable of measuring thermal error of a CNC turning center in real cutting conditions. The neural network uses the cutting conditions as the mapping inputs to avoid problems occurred in the traditional temperature-error mapping model. Results show the proposed measurement system and prediction model can be used to accurately estimate the thermally induced error in real cutting conditions.

1997 ◽  
Vol 119 (1) ◽  
pp. 1-7 ◽  
Author(s):  
M. R. Stiteler ◽  
I. C. Ume

An automated on-line warpage measurement system for printed wiring board assemblies (PWBAs) has been developed. The system is capable of simulating an infrared reflow soldering process and performing real-time PWBA warpage measurements using the shadow moire´ technique. The system can be used to characterize the warpage behavior of virtually any PWBA during infrared soldering processes as well as during operational conditions. Using this system, warpage of PWB test vehicles was measured during simulated infrared reflow soldering. The measurement results and the measurement system will be presented. The measured warpage varied significantly during reflow soldering from that observed both before and after reflow. These results help us to understand how the board deforms at every stage of the reflow process.


2018 ◽  
Vol 38 (5) ◽  
pp. 0530003
Author(s):  
孙明国 Sun Mingguo ◽  
马宏亮 Ma Hongliang ◽  
刘强 Liu Qiang ◽  
曹振松 Cao Zhensong ◽  
王贵师 Wang Guishi ◽  
...  

2013 ◽  
Vol 664 ◽  
pp. 907-915 ◽  
Author(s):  
Abderrazak El Ouafi ◽  
Michel Guillot ◽  
Noureddine Barka

Thermally induced errors play a critical role in controlling the level of machining accuracy. They can represent a significant proportion of dimensional errors in produced parts. Since thermal errors cannot totally be eliminated at the design stage, active errors compensation appears to be the most economical and realistic solution. Accurate and efficient modeling of the thermally induced errors is an indispensable part of the error compensation process. This paper presents an integrated and comprehensive modeling approach for real-time thermal error compensation. The modeling process is based on multiple temperature measurements, Taguchi’s orthogonal arrays, artificial neural networks and various statistical tools to provide cost effective selection of appropriate temperature variables and modeling conditions as well as to achieve robust and accurate thermal error models. The experimental results on a CNC turning center confirm the feasibility and efficiency of the proposed approach and show that the resultant model can accurately predict the time-variant spindle thermal drift errors under various operating conditions. After compensation, the thermally induced spindle errors were reduced from 19m to less than 1 m. The proposed modeling optimization strategy can be effectively and advantageously used for real-time error compensation since it presents the benefit of straightforward application, reduced modeling time and uncertainty.


2006 ◽  
Author(s):  
Yongcai Yang ◽  
Junsan Ma ◽  
Rimin Pan ◽  
Xiang Yu

2011 ◽  
Vol 301-303 ◽  
pp. 959-964 ◽  
Author(s):  
Da Lin Cheng ◽  
Yi Wang ◽  
Yong Jie Ren ◽  
Xue You Yang

A novel crankshaft and camshaft measurement system by optoelectronic scanning of which a flat-crystal was used to generate high depth of parallelism scanning laser was implemented. The general structure and principle were given. Mass of test results showed that the system could achieve high precision. The ranges could achieve ±8μm, standard deviation could achieve 3μm, and easy to operate, work reliably, automatically and on line measurement could be implemented.


2005 ◽  
Vol 295-296 ◽  
pp. 381-386 ◽  
Author(s):  
Liang Chia Chen ◽  
J.Y. Sun ◽  
Tsing Tshih Tsung ◽  
H. Chang ◽  
Hong Ming Lin

This article presents the development of an automatic on-line measurement system for characterizing a nanoparticle manufacturing process known as Arc Spray Nanoparticle Synthesis System (ASNSS). The ASNSS has been developed to generate metal nanoparticles and to explore the optimum system parameters for producing the desired nanopowders. Preliminary experimental results indicate that the size of nanoparticles, widely ranging from 10nm to 300nm, is significantly affected by the process parameters such as operating pressure, temperature, electrical current and type of dielectric liquid used. The on-line measurement system was developed to provide an effective multi-solution for characterizing the nanoparticle synthesis process and for monitoring the manufacturing quality of the ASNSS. Experiments were conducted to identify the optimum sampling period and volume of the particle suspension for accurate sampling and data acquisition. Experimental results revealed that a sampling duration of 20 minutes and a dielectric volume of 40 c.c. can achieve effective data representation while maximizing the sampling efficiency.


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