面向锻造生产的节能调度研究

发布时间：2018-05-09 19:03

本文选题：锻造 + 生产调度　；参考：《南京理工大学》2017年硕士论文

【摘要】：能源问题是当今社会的一个热点问题,随着对能源需求量的增大,能源不足的问题也越来越严重,节能的研究显得至关重要。制造企业作为能源最大的消费者,更是要承担节能的重任,生产加工过程是制造企业实现节能时主要考虑的环节,节能的实现有多种途径,但是关于通过调度的手段来实现节能的研究目前还比较少。本文以锻造行业的生产过程为研究对象,研究其调度方法,保证了生产的高效率,并且考虑了节能的目标,顺应了我国的可持续发展战略。本文围绕锻造生产过程中的三个环节来展开了节能调度研究,分别是锻造加热环节、锻打环节和锻造热处理环节,在每个环节中都提出了该环节目前存在的问题,针对这些问题建立了数学模型,并且对这些模型采用了相关的算法或处理方法。锻造加热环节中,首先对锻件进行了聚类和聚类组合处理,然后面向加热炉建立了以保温等待时间和装炉容量差率为目标的数学模型,针对建立的数学模型设计了改进的遗传算法,并结合实际案例分析了算法结果,成功实现了节能的目标。锻打环节中,将节能调度问题简述为多锻件与多锻打设备间的匹配问题。首先,建立了以回炉次数为目标的调度模型,并求解;接着,以回炉次数为目标的求解结果为约束,建立以锻打工时为目标的调度模型,并求解;然后,以锻打工时为目标的求解结果为约束,建立以换作时间为目标的调度模型,并求解;最后,以换作时间为目标的求解结果为约束,建立混合锻打调度模型,并设计了相应的解决方法,且结合实际案例验证了方法的可行性。锻造热处理环节中,首先优化了余热热处理工艺,然后针对热处理环节中的淬火与回火工艺,建立了余热淬火模型和余热回火模型,最后也同样提出了对应模型的解决方法,并且结合了实际案例验证了方法的可行性。最后结合前面研究的调度方法设计并开发了面向节能的锻造生产调度系统。给出了系统的总体设计,对各功能模块以及数据库表单进行了设计,展示了系统开发完善后的功能以及运行流程。
[Abstract]:Energy problem is a hot issue in our society. With the increase of energy demand, the problem of energy shortage is becoming more and more serious. Manufacturing enterprises, as the largest consumers of energy, have to shoulder the heavy task of energy conservation. The production and processing process is the main consideration in the realization of energy conservation in manufacturing enterprises, and there are many ways to achieve energy conservation. However, there are few researches on how to achieve energy saving by means of scheduling. This paper takes the production process of forging industry as the research object, studies its scheduling method, guarantees the high efficiency of production, considers the goal of energy saving, and conforms to the sustainable development strategy of our country. In this paper, the energy saving scheduling research is carried out around three links in forging process, namely, forging heating link, forging beating link and forging heat treatment link. In each link, the problems existing in this link are put forward. Mathematical models are established for these problems, and relevant algorithms or processing methods are adopted for these models. In the process of forging heating, the forging is first treated by clustering and clustering combination, and then a mathematical model aiming at heat preservation waiting time and charging capacity difference is established for heating furnace. An improved genetic algorithm is designed for the established mathematical model, and the result of the algorithm is analyzed with a practical case. The goal of energy saving is realized successfully. In the forging process, the problem of energy saving scheduling is briefly described as the matching problem between multiple forgings and multi-forging equipment. First of all, the scheduling model with the return number as the goal is established and solved. Then, the scheduling model with the forging time as the target is established and solved, which takes the result of the return as the target as the constraint. Taking the result of forging time as the constraint, the scheduling model with changing time as the target is established and solved. Finally, the mixed forging scheduling model is established with the result of changing time as the constraint. The corresponding solutions are designed, and the feasibility of the method is verified by practical cases. In the process of forging heat treatment, the waste heat treatment process is optimized at first, then the quenching and tempering models of waste heat are established for the quenching and tempering processes in the heat treatment links. At last, the solutions of the corresponding models are also put forward. The feasibility of the method is verified by practical cases. Finally, a forging production scheduling system for energy saving is designed and developed based on the scheduling method studied above. The overall design of the system is given, the function modules and database forms are designed, and the functions and operation flow of the system after development are shown.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG318

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