TY - GEN
T1 - Research on the adaptive adjustment of the parameters in grinding process
AU - Qi, Junde
AU - Zhang, Dinghua
AU - Li, Shan
AU - Chen, Bing
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/24
Y1 - 2017/1/24
N2 - The grinding process is influenced by many factors which make it prone to fluctuations in the quality and hard to guarantee the effectiveness and reliability. Therefore, as for this problem, an adaptive adjustment model of the parameters in grinding process is established. First single factor experiments were conducted to get the influence of the processing parameters on the quality qualitatively and the variation range of the parameters can also be obtained. Then, based on the orthogonal experiments, multiple linear regression method was used to establish the empirical relationship between the processing parameters and product quality quantificationally. Moreover, the parameter sensitivity function was presented through the relationship. On the basis of the analyses above, the model of the adaptive adjustment of the parameters was presented using fuzzy theory and the adjustive sequence, direction and step length were given. Finally experiments were conducted and the results show the effectiveness of the adjustment method.
AB - The grinding process is influenced by many factors which make it prone to fluctuations in the quality and hard to guarantee the effectiveness and reliability. Therefore, as for this problem, an adaptive adjustment model of the parameters in grinding process is established. First single factor experiments were conducted to get the influence of the processing parameters on the quality qualitatively and the variation range of the parameters can also be obtained. Then, based on the orthogonal experiments, multiple linear regression method was used to establish the empirical relationship between the processing parameters and product quality quantificationally. Moreover, the parameter sensitivity function was presented through the relationship. On the basis of the analyses above, the model of the adaptive adjustment of the parameters was presented using fuzzy theory and the adjustive sequence, direction and step length were given. Finally experiments were conducted and the results show the effectiveness of the adjustment method.
KW - Adaptive adjustment
KW - Fuzzy theory
KW - Grinding process
KW - Sensitivity function
KW - Step length
UR - http://www.scopus.com/inward/record.url?scp=85015727782&partnerID=8YFLogxK
U2 - 10.1109/ICInfA.2016.7831918
DO - 10.1109/ICInfA.2016.7831918
M3 - 会议稿件
AN - SCOPUS:85015727782
T3 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
SP - 744
EP - 750
BT - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016
Y2 - 1 August 2016 through 3 August 2016
ER -