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With the rapid development of online courses, digital learning has become a global trend. In this context, this study analyzed the high intake population of online courses for online affective cognition, and explored what the user’s attraction factors for online courses are. The key factors that affect consumers’ usage of online courses and the weights of impact relations are presented, aiming to provide guidance for future improvement of online courses. This study was conducted through the evaluation grid method of Miryoku engineering. In order to make the charm factors more accurate and representative, this study summarized the charm elements using the Kawakita Jiro (KJ) method, and then quantified the factors in the form of a questionnaire. Through the statistical analysis of the questionnaire and quantification theory type I, the correlation between the charm feeling and the online course as well as the weight of each item (original evaluation item) and category (specific evaluation item) were calculated. Through the research and discussion on the charm factors of online teaching, the results analyzed and integrated in this paper could give more substantive suggestions and help to the education industry.

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The final manufacturing performances of the machine tools will be influenced by its thermal characteristics seriously and accurately predict thermal characteristic is helpful to improve the machine design level. Based on the analysis on factors that influence machine thermal characteristic, finite element analysis model of the headstock has been constructed, and the steady temperature field distribution and thermal equilibrium time calculation of the headstock are calculated, and then the temperature field and thermal deformation of the headstock under the action of heat and structure load have been calculated, and analysis to identify the trend of the spindle assembly and headstock heat distortion are also been done. The analysis reveals the machine processing performance influence will be influenced by the hot asymmetric, the study give priority to spindle assembly of optimization design, thermal error compensation.