Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes ...Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes and grooves cannot be formed directly.Therefore,traditional machining procedures are also required.The drilling process is one of the most common machining methods for CFRP holes,but owing to the complex structure and difficulty in processing CFRP,the quality of the drilling process is often challenging to guarantee.Moreover,the hole-forming defects also have complex forms and lack uniform evaluation indexes.This study summarizes the common orifice defects in the process of CFRP drilling,establishes a comprehensive evaluation method of orifice defects by introducing the relevant theory of the fuzzy complementary judgment matrix,and experimentally verifies the accuracy and reliability of this method.Then,based on the experimental results,a non-linear cutting parameter optimization model is established,which effectively suppresses the orifice defects to ensure the accuracy of the hole size,roundness,and hole wall roughness.The hole-forming quality is subsequently improved.The hole quality evaluation method proposed in this study reduced the dimension of the evaluation index to ensure relevance and effectiveness and improved the convenience of quality inspection and parameter optimization in actual production.展开更多
Based on the concept of multiplicative fuzzy consistent complementary judgement matrix, the mixed least square method （MLSM） for priority of complementary judgement matrix is proposed and proved. Then, the correspon...Based on the concept of multiplicative fuzzy consistent complementary judgement matrix, the mixed least square method （MLSM） for priority of complementary judgement matrix is proposed and proved. Then, the corresponding convergent iterative algorithm is given and its convergence is proved. Finally, some main properties of the developed priority method, such as rank preservation under strong condition, etc., ate introduced. The theoretical analyses show that the MLSM can sufficiently reflect the preference information of the decision maker, and is easy to realize on a computer.展开更多
A new interval number ranking approach is applied for assessment of priorities of the alternative partners, where the attribute values are given out as interval numbers while the weight of each criterion is still exac...A new interval number ranking approach is applied for assessment of priorities of the alternative partners, where the attribute values are given out as interval numbers while the weight of each criterion is still exact numerical value pattern. After aggregating with the weighted arithmetic averaging operator, the result is still in the form of interval number. To achieve the priorities of alternative partners we take the possibility method for ranking interval numbers into account which could derive priorities from inconsistent attribute values, thus eliminating the adjustment to the inconsistent attribute values. Moreover, this method is very simple and needs less calculation. An illustrative example is given out to demonstrate this smart method.展开更多
基金Supported by National Natural Science Foundation of China(Grant No.51875412)Top Discipline Plan of Shanghai Universities-ClassⅠ。
文摘Carbon fiber reinforced polymer(CFRP)are widely used in various fields because of their high strength,good toughness,and low density.However,owing to their unique forming process,some complex structures such as holes and grooves cannot be formed directly.Therefore,traditional machining procedures are also required.The drilling process is one of the most common machining methods for CFRP holes,but owing to the complex structure and difficulty in processing CFRP,the quality of the drilling process is often challenging to guarantee.Moreover,the hole-forming defects also have complex forms and lack uniform evaluation indexes.This study summarizes the common orifice defects in the process of CFRP drilling,establishes a comprehensive evaluation method of orifice defects by introducing the relevant theory of the fuzzy complementary judgment matrix,and experimentally verifies the accuracy and reliability of this method.Then,based on the experimental results,a non-linear cutting parameter optimization model is established,which effectively suppresses the orifice defects to ensure the accuracy of the hole size,roundness,and hole wall roughness.The hole-forming quality is subsequently improved.The hole quality evaluation method proposed in this study reduced the dimension of the evaluation index to ensure relevance and effectiveness and improved the convenience of quality inspection and parameter optimization in actual production.
基金The Project of Shaanxi Provincial Natural Science Foundation of China (No.2004A05)the Project of Science and Research Foundation of Education Committee of Shaanxi Province (No.06JK324)
文摘Based on the concept of multiplicative fuzzy consistent complementary judgement matrix, the mixed least square method （MLSM） for priority of complementary judgement matrix is proposed and proved. Then, the corresponding convergent iterative algorithm is given and its convergence is proved. Finally, some main properties of the developed priority method, such as rank preservation under strong condition, etc., ate introduced. The theoretical analyses show that the MLSM can sufficiently reflect the preference information of the decision maker, and is easy to realize on a computer.
基金the National Natural Science Foundation of China (70471063 70771010)985 Philosophy and Social Science Innovation Base of the Ministry of Education(107008200400024) .
文摘A new interval number ranking approach is applied for assessment of priorities of the alternative partners, where the attribute values are given out as interval numbers while the weight of each criterion is still exact numerical value pattern. After aggregating with the weighted arithmetic averaging operator, the result is still in the form of interval number. To achieve the priorities of alternative partners we take the possibility method for ranking interval numbers into account which could derive priorities from inconsistent attribute values, thus eliminating the adjustment to the inconsistent attribute values. Moreover, this method is very simple and needs less calculation. An illustrative example is given out to demonstrate this smart method.
