TRR 96: Thermo-Energetic Design of Machine Tools - A Systemic Approach to Solve the Conflict between Power Efficiency, Accuracy and Productivity Demonstrated at the Example of Machining Production

TRR 96：机床热能设计 - 以机械加工为例展示的解决动力效率、精度和生产率之间冲突的系统方法

• 批准号: 174223256
• 金额: --
• 依托单位: Rheinisch-Westfälische Technische Hochschule Aachen
• 依托单位国家: 德国
• 项目类别: CRC/Transregios
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/174223256?language=en
• 关键词: TRR; 96; Thermo; Energetic; Design

The challenge of research in the CRC/TR 96 derives from the attempt to satisfy the conflicting goals of reducing energy consumption and increasing accuracy and productivity in machining. The solution approach pursued is based on measures that make it possible to guarantee process accuracy despite increasing power losses without additional energetic measures under thermal transient environmental conditions and under operating conditions characterized by individual and small series production. The scientists of the CRC/TR 96 are researching and developing effective correction and compensation solutions for the thermo-elastic machine behavior, which will enable precision machining under the future conditions of energy-efficient production.The following subgoals are derived from this:1) Development of modeling fundamentals for a comprehensive calculation capability of thermo-elastic deformations and the heat fluxes causing them, as well as for the mapping of structural variability due to relative movements and minimization of calculation time,2) Implementation of a current data image as a digital representation of the thermo-elastic functional chain. This includes model data as well as parameters and provides for the possibility of a cyclic update.3) Recording of the effects of heat sources and sinks on the thermal behaviour of machine tools as well as the description of the temporal behaviour. Tracking of locally and temporally fluctuating parameters by means of parameter identification procedures as a prerequisite for the design and operation of correction and compensation approaches,4) Development of basic metrological approaches for the detecting of thermo-elastic failures in specified structural areas of machine tools and their use for correction and compensation solutions,5) Development and implementation of solutions for the control-integrated correction of thermo-elastic failures under consideration of process-accompanying data analysis.6) Development and integration of design and material property-supported approaches for the compensation of thermo-elastic effects by stabilisation of the temperature field and reduction and homogenisation of the heat energy input in the area of load-bearing structures, 7) Technical-economic evaluation of the measures developed in the SFB/TR 96 with regard to their impact on product quality, volume performance, energy consumption and costs.In phase 3 (demonstration phase), the research work relates to the entire machine. On the basis of the research results on simple partial and overall models, correction and compensation approaches are transferred to the application for the entire machine under the conditions of real operation. This leads to new scientific challenges due to a multitude of uncertainties and parameter fluctuations. The models have to be further developed and new solutions for the control of variable operating conditions such as online identification have to be developed.

CRC/TR 96中研究的挑战源于实现降低能源消耗以及提高加工的准确性和生产率的矛盾目标的尝试。采用的解决方案方法是基于措施，尽管在热瞬态环境条件下以及以个人和小型系列生产为特征的操作条件下，在没有其他能量措施的情况下，可以保证过程准确性。 CRC/TR 96的科学家正在研究和开发对热弹性行为的有效校正和补偿解决方案，这将在能源有效生产的未来条件下进行精确加工。以下子量从此得出。从此得出：1）建模基本原理的发展，以使其对相对范围和热量的构建相对动作的全面计算能力，并在其范围内进行，并在其范围内逐步启动，并及时逐渐变化，并及时逐渐启动，并在其范围内逐渐变化。最小化计算时间，2）实现当前数据图像作为热弹性链的数字表示。这包括模型数据和参数，并提供了循环更新的可能性。3）记录热源和下沉对机床热行为的影响以及时间行为的描述。通过参数识别程序跟踪局部和时间上波动的参数，作为校正和补偿方法的设计和操作的先决条件； 4）开发基本的计量方法，用于检测机床的特定结构和其在校正和补偿解决方案中的特定结构的热弹性失败的基本弹性失败，5）越来越高，5） 6））。6）通过稳定温度领域的稳定以及减少载荷结构领域中热能输入的量和降低和均质的设计和均质的载荷结构，7）在SFB/TRE 96上开发的效果3），​​从而及时效果的效率3）阶段），研究工作与整个机器有关。根据简单局部和整体模型的研究结果，在实际操作条件下，校正和补偿方法将转移到整个机器的应用中。由于多种不确定性和参数波动，这导致了新的科学挑战。必须进一步开发这些模型，并必须开发用于控制可变操作条件（例如在线识别）的新解决方案。