In modern manufacturing processes, environmental impact is an increasingly relevant aspect. The development of innovative coolant strategies therefore aims to both optimise the efficiency of the machining process and reduce coolant consumption. In particular, the combination of small diameters and large drilling depths represents a major challenge in terms of production technology. For this reason, a targeted supply of cooling lubricants is essential, as high thermal loads occur in the chip formation zone. Conventional cooling lubricant systems often reach their limits here, as insufficient cooling capacity severely impairs process reliability. The cryogenic minimum quantity lubrication (cMQL) can significantly improve performance in deep hole drilling, but is dependent on the interaction between lubricant and CO2. This paper presents an approach to get a fundamental understanding of the solution kinetics between liquid CO2 and lubricant within the cMQL system, which is essential for a targeted process design and optimisation of the process.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Experimental and Numerical Characterisation of the Solubility of a CO2 Lubricant Mixture for a Cryogenic Minimum Quantity Lubrication System

  • Martin Sicking,
  • André Bekston,
  • Dirk Biermann

摘要

In modern manufacturing processes, environmental impact is an increasingly relevant aspect. The development of innovative coolant strategies therefore aims to both optimise the efficiency of the machining process and reduce coolant consumption. In particular, the combination of small diameters and large drilling depths represents a major challenge in terms of production technology. For this reason, a targeted supply of cooling lubricants is essential, as high thermal loads occur in the chip formation zone. Conventional cooling lubricant systems often reach their limits here, as insufficient cooling capacity severely impairs process reliability. The cryogenic minimum quantity lubrication (cMQL) can significantly improve performance in deep hole drilling, but is dependent on the interaction between lubricant and CO2. This paper presents an approach to get a fundamental understanding of the solution kinetics between liquid CO2 and lubricant within the cMQL system, which is essential for a targeted process design and optimisation of the process.