•  
  •  
 

Corresponding Author(s)

宁萌(1985—),男,江南大学副教授,博士。E-mail:1613722479@qq.com

Abstract

Objective: In view of the problems of large size and low heating uniformity of the existing cooking machine, a miniaturized drum-type automatic cooking machine with electromagnetic heating was designed to reduce the equipment volume and improve the cooking effect. Methods: The modular design method oriented to function and structure was adopted to design each module mechanism of the frying machine. Then, based on Biot-Savart law, the relationship between the magnetic field generated by the coil in space and the current and distance is obtained, and the distribution curves of magnetic field intensity and temperature on the surface of the cooker under three coil arrangements are obtained by Ansys-Maxwell joint simulation. Secondly, the modal analysis of the sliding rail mechanism is carried out by Ansys software, and the frequency band of improper deformation of the mechanism is obtained. Finally, a prototype was developed and compared with three cooking methods to verify the cooking effect of the proto type. Results: Compared with the existing cooking machine, the heating uniformity was greatly improved, and the structural design and actual cooking effect met the use requirements. Conclusion: The research and design of automatic cooking machine has high feasibility and practicability.

Publication Date

10-20-2023

First Page

92

Last Page

98

DOI

10.13652/j.spjx.1003.5788.2022.80818

References

[1] 程守真. 餐饮行业竞争日益白热化餐企未来将有四大发展趋势[J]. 中国食品, 2022(6): 73-75. CHENG S Z. Increasingly fierce competition in the catering industry, catering enterprises will have four major development trends in the future[J]. Chinese Food, 2022(6): 73-75.
[2] 王康旭. 炒菜机器人的研究现状和发展趋势[J]. 数字化用户, 2017, 23(2): 125-126. WANG K X. Research status and development trend of cooking robot[J]. Digital Users, 2017, 23(2): 125-126.
[3] LI B, CHEN Y, DENG Z Q, et al. Conceptual design and analysis of the 2T1R mechanism for a cooking robot[J]. Robotics and Autonomous Systems, 2010, 59(2): 74-83.
[4] FU Z, YAN W X, MA W T, et al. The auto-cooking system for Chinese traditional dishes[J]. Assembly Automation, 2010, 30(1): 75-81.
[5] 祝俊. 智能炒菜机及其关键技术的研究[D]. 武汉: 武汉工程大学, 2014: 34-48. ZHU J. Research on intelligent cooking machine and its key technology[D]. Wuhan: Wuhan Institute of Technology, 2014: 34-48.
[6] 彭放. 家用炒菜机的关键技术研究[D]. 武汉: 华中科技大学, 2016: 46-53. PENG F. Research on the key technology of household cooking machine[D]. Wuhan: Huazhong University of Science and Technology, 2016: 46-53.
[7] 郑小军. 一种多功能炒菜机: CN215605055U[P]. 2022-01-25. ZHENG X J. A multifunctional frying machine: CN215605055U[P]. 2022-01-25.
[8] 雷鸣, 管声启, 王杰, 等. 新型商用炒菜机器人搅拌系统结构设计与轨迹分析[J]. 西安工程大学学报, 2019, 33(6): 660-665. LEI M, GUAN S Q, WANG J, et al. Structure design and trajectory analysis of a new type of commercial stir-frying robot mixing system[J]. Journal of Xi'an Polytechnic University, 2019, 33(6): 660-665.
[9] INAGAWA M, TAKEI T, IMANISHI E. Analysis of cooking recipes written in Japanese and motion planning for cooking robot[J]. Robomech Journal, 2021, 8: 17-29.
[10] 王晓兵. 机械产品模块化设计策略[J]. 内燃机与配件, 2021(7): 194-195. WANG X B. Modular design strategy of mechanical products[J]. Internal Combustion Engine and Accessories, 2021(7): 194-195.
[11] ILAN T. Electric heaters for industrial heating applications[J]. Process Heating, 2016, 23(4): 30-32.
[12] GAONE J M, TILLEY B S, YAKOVLEV V V. Electromagnetic heating control via high-frequencyresonance of a triple-layer laminate[J]. Journal of Engineering Mathematics, 2019, 114(1): 65-86.
[13] 纪金灿. 智能炒菜机火控与炒菜装置的机电一体化设计[D]. 广州: 广东工业大学, 2015: 56-64. JI J C. Electromechanical integration design of fire control and cooking device of intelligent cooking machine[D]. Guangzhou: Guangdong University of Technology, 2015: 56-64.
[14] LI C X, ZHOU Y, WANG P F, et al. Design and experiments of electromagnetic heating forming technology[J]. IEEE Access, 2019, 7: 62 646-62 656.
[15] PERON V, POIGNARD C. On a magnetic skin effect in eddy current problems: The magnetic potential in magnetically soft materials[J]. Zeitschrift Für Angewandte Mathematik und Physik, 2021, 72(4): 164.
[16] BASAVARAJ N, SHANMUKHA N. Modal analysis of smart composite cantilever beams[J]. Materials Today Proceedings, 2020, 27: 52-59.
[17] JIANG X, JIANG F. Operational modal analysis using symbolic regression for a nonlinear vibration system[J]. Journal of Low Frequency Noise, Vibration and Active Control, 2020, 40(1): 56-71.
[18] LEONARD M C G, GABRIEL C M, ANDRA R C, et al. Dynamic modal analysis of a mechanical system with deformable elements[J]. Applied Mechanics and Materials, 2020, 896: 75-82.
[19] ABDELKADER M. Combined use of modal analysis and machine learning for materials classification[J]. Materials, 2021, 14(15): 14154270.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.