Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our ...Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”展开更多
We presented Mathematical apparatus of the choice of optimum parameters of technical, technological systems and materials on the basis of vector optimization. We have considered the formulation and solution of three t...We presented Mathematical apparatus of the choice of optimum parameters of technical, technological systems and materials on the basis of vector optimization. We have considered the formulation and solution of three types of tasks presented below. First, the problem of selecting the optimal parameters of technical systems depending on the functional characteristics of the system. Secondly, the problem of selecting the optimal parameters of the process depending on the technological characteristics of the process. Third, the problem of choosing the optimal structure of the material depending on the functional characteristics of this material. The statement of all problems is made in the form of vector problems of mathematical (nonlinear) programming. The theory and the principle of optimality of the solution of vector tasks it is explained in work of https://rdcu.be/bhZ8i. The implementation of the methodology is shown on a numerical example of the choice of optimum parameters of the technical, technological systems and materials. On the basis of mathematical methods of solution of vector problems we developed the software in the MATLAB system. The numerical example includes: input data (requirement specification) for modeling;transformation of mathematical models with uncertainty to the model under certainty;acceptance of an optimal solution with equivalent criteria (the solution of numerical model);acceptance of an optimal solution with the given priority of criterion.展开更多
采用DSC测试、热镦粗实验、半固态等温处理实验、金相显微镜观察以及Image Pro Plus图像处理软件,研究了等温压缩温度、压缩量和半固态等温处理的温度、保温时间对再结晶重熔(RAP)法制备AlSi7Mg铝合金半固态坯料微观组织的影响。结果表...采用DSC测试、热镦粗实验、半固态等温处理实验、金相显微镜观察以及Image Pro Plus图像处理软件,研究了等温压缩温度、压缩量和半固态等温处理的温度、保温时间对再结晶重熔(RAP)法制备AlSi7Mg铝合金半固态坯料微观组织的影响。结果表明:等温压缩过程中温度对半固态坯料微观组织的影响不明显,而等温压缩变形量的增大有利于细化半固态坯料微观组织,最优热镦粗参数为温度240℃,变形量40%;半固态等温处理过程中,随保温温度升高,微观组织固相晶粒的尺寸逐渐增大,而随着保温时间延长,半固态组织中固相颗粒的尺寸先缓慢长大再迅速长大然后趋于不变,固相颗粒的圆整度变化较为复杂。通过RAP法制备的AlSi7Mg铝合金半固态坯料平均晶粒尺寸为64~117μm,形状因子为0.76~0.89。低于599℃时,半固态的平均晶粒尺寸的立方粗化线性关系不明显,影响晶粒粗化的机制主要有Ostwald熟化、合并长大、再结晶和熔化;在599℃时,晶粒尺寸的立方粗化线性关系较为明显,此时Ostwald熟化为晶粒粗化的主导机制。展开更多
文摘Members of the British Textile Machinery Association(BTMA)can look back on 2025 as a year marked by notable technological advances and continued progress in global trade,despite an uncertain and volatile market.“Our members have been very active over the past 12 months and this has resulted in new technologies for the production of technical fibres and fabrics,the introduction of AI and machine learning into process control systems and significant advances in materials testing,”says BTMA CEO Jason Kent.“There’s real excitement about what can be achieved in 2026 as we look ahead to upcoming exhibitions such as JEC Composites in Paris in March and Techtextil in Frankfurt in April.”
文摘We presented Mathematical apparatus of the choice of optimum parameters of technical, technological systems and materials on the basis of vector optimization. We have considered the formulation and solution of three types of tasks presented below. First, the problem of selecting the optimal parameters of technical systems depending on the functional characteristics of the system. Secondly, the problem of selecting the optimal parameters of the process depending on the technological characteristics of the process. Third, the problem of choosing the optimal structure of the material depending on the functional characteristics of this material. The statement of all problems is made in the form of vector problems of mathematical (nonlinear) programming. The theory and the principle of optimality of the solution of vector tasks it is explained in work of https://rdcu.be/bhZ8i. The implementation of the methodology is shown on a numerical example of the choice of optimum parameters of the technical, technological systems and materials. On the basis of mathematical methods of solution of vector problems we developed the software in the MATLAB system. The numerical example includes: input data (requirement specification) for modeling;transformation of mathematical models with uncertainty to the model under certainty;acceptance of an optimal solution with equivalent criteria (the solution of numerical model);acceptance of an optimal solution with the given priority of criterion.
文摘采用DSC测试、热镦粗实验、半固态等温处理实验、金相显微镜观察以及Image Pro Plus图像处理软件,研究了等温压缩温度、压缩量和半固态等温处理的温度、保温时间对再结晶重熔(RAP)法制备AlSi7Mg铝合金半固态坯料微观组织的影响。结果表明:等温压缩过程中温度对半固态坯料微观组织的影响不明显,而等温压缩变形量的增大有利于细化半固态坯料微观组织,最优热镦粗参数为温度240℃,变形量40%;半固态等温处理过程中,随保温温度升高,微观组织固相晶粒的尺寸逐渐增大,而随着保温时间延长,半固态组织中固相颗粒的尺寸先缓慢长大再迅速长大然后趋于不变,固相颗粒的圆整度变化较为复杂。通过RAP法制备的AlSi7Mg铝合金半固态坯料平均晶粒尺寸为64~117μm,形状因子为0.76~0.89。低于599℃时,半固态的平均晶粒尺寸的立方粗化线性关系不明显,影响晶粒粗化的机制主要有Ostwald熟化、合并长大、再结晶和熔化;在599℃时,晶粒尺寸的立方粗化线性关系较为明显,此时Ostwald熟化为晶粒粗化的主导机制。
