with the development of computer technology, foundry CAE technology has made rapid progress. Commercialsoftware packages of casting process simulation, therefore, have become more and more practical. This paper introd...with the development of computer technology, foundry CAE technology has made rapid progress. Commercialsoftware packages of casting process simulation, therefore, have become more and more practical. This paper introducesboth the recent developments and some applications of InteCAST software, a commercial numerical simulation softwarepackage for foundry industry, with more than 120 customers all over the world. The function modules of lnteCAST8.0 andsome new techniques, such as uneven mesh technology for mold filling simulation and numerical mouse technology fordata visualization, were introduced. Several applications on special castings such as investment casting, low pressure diecasting, and high pressure die casting, were given. These applications showed that the software can help engineers tooptimize casting process by forecasting casting defect.展开更多
Affected by many involved factors, different dimensions, data with large difference, incomplete information and so on, the most optimal selection of regional outburst prevention measures for outburst mine has become a...Affected by many involved factors, different dimensions, data with large difference, incomplete information and so on, the most optimal selection of regional outburst prevention measures for outburst mine has become a complicated system project. The traditional way of outburst prevention measure selection belongs to qualitative method, which may cause high-cost of gas control, huge quantities of drilling work, long construction time and even secondary disaster. To solve the above-mentioned problems, in light of occurrence status of coal seam gas in No. 21 mining area of Jinzhushan Tuzhu Mine, through grey fixed weight clustering theory and a combination method of qualitative and quantitative analysis, the judging model with multi-objective classification for optimization of outburst prevention measures was established. The three weight coefficients of outburst prevention technology scheme are sorted, in order to determine the advantages and disadvantages of each outburst prevention technology scheme under the comprehensive evaluation of multi-target. Finally, the problem of quantitative selection for regional outburst prevention technology scheme is solved under the situation of multi-factor mode and incomplete information, which provides reasonable and effective technical measures for prevention of coal and gas outburst disaster.展开更多
文摘with the development of computer technology, foundry CAE technology has made rapid progress. Commercialsoftware packages of casting process simulation, therefore, have become more and more practical. This paper introducesboth the recent developments and some applications of InteCAST software, a commercial numerical simulation softwarepackage for foundry industry, with more than 120 customers all over the world. The function modules of lnteCAST8.0 andsome new techniques, such as uneven mesh technology for mold filling simulation and numerical mouse technology fordata visualization, were introduced. Several applications on special castings such as investment casting, low pressure diecasting, and high pressure die casting, were given. These applications showed that the software can help engineers tooptimize casting process by forecasting casting defect.
文摘Affected by many involved factors, different dimensions, data with large difference, incomplete information and so on, the most optimal selection of regional outburst prevention measures for outburst mine has become a complicated system project. The traditional way of outburst prevention measure selection belongs to qualitative method, which may cause high-cost of gas control, huge quantities of drilling work, long construction time and even secondary disaster. To solve the above-mentioned problems, in light of occurrence status of coal seam gas in No. 21 mining area of Jinzhushan Tuzhu Mine, through grey fixed weight clustering theory and a combination method of qualitative and quantitative analysis, the judging model with multi-objective classification for optimization of outburst prevention measures was established. The three weight coefficients of outburst prevention technology scheme are sorted, in order to determine the advantages and disadvantages of each outburst prevention technology scheme under the comprehensive evaluation of multi-target. Finally, the problem of quantitative selection for regional outburst prevention technology scheme is solved under the situation of multi-factor mode and incomplete information, which provides reasonable and effective technical measures for prevention of coal and gas outburst disaster.
