This study develops a thermal model utilizing the inverse heat transfer method (IHTM) to investigate the bone grinding temperature created by a spherical diamond tool used for skull base neurosurgery. Bone grinding is a critical procedure in the expanded endonasal approach to remove the cranial bone and access to the skull base tumor via nasal corridor. The heat is generated during grinding and could damage the nerve or coagulate the blood in the carotid artery adjacent to the bone. The finite element analysis is adopted to investigate the grinding-induced bone temperature rise. The heat source distribution is defined by the thermal model, and the temperature distribution is solved using the IHTM with experimental inputs. Grinding experiments were conducted on a bovine cortical bone with embedded thermocouples. Results show significant temperature rise in bone grinding. Using 50°C as the threshold, the thermal injury can propagate about 3 mm in the traverse direction, and 3 mm below the ground surface under the dry grinding condition. The presented methodology demonstrated the capability of being a thermal analysis tool for bone grinding study.

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作者简介： 杨四阳（１９８８-） ，男，博士生（ Ｅ•ｍａｉｌ： ｙｓｙｃｉｍｓ２０１４＠ １６３．ｃｏｍ） ； 夏链（１９６４-） ，女，教授，博士（ 通讯作者． Ｅ•ｍａｉｌ： ｘｉａ_ｎｉａｎ＠ １２６．ｃｏｍ） ．

Abstract-Now the temperature setting value of the spray nozzle in sterilization machine of each temperature zone always depends on experience, lacking of real theoretical basis, leading high energy consumption problem during the beer sterilization process. To solve this problem, the thesis according to the theory of thermodynamics establishes mathematical model of the temperature of spray nozzle and beer, and establish the optimization target association model of energy consumption and the setting temperature of spray nozzle firstly; then use the minimum difference value of the beer actual PU and the theoretical, and the minimum energy consumption of sterilization machine as the optimization objective, using the multi-objective genetic algorithm to solve the multi-objective optimization problem, and obtain the optimal target value, realize low energy consumption. The theoretical and experimental results show that the proposed model is correct and can effectively reduce the energy consumption.