•  
  •  
 

Abstract

Objective: The paper aims to solve the large amount of packing for spherical fruit packing with unstable and unshapen with foam. Methods: A product design method based on AHP, AD and TRIZ integration was proposed in view of user demands. The weight and ranking of customer demands was obtained through AHP, the high-weights of design elements was converted to functional requirement. Then, the mapping between functional domain and physical domain of design elements was completed by means of AD axiomatic design. The design parameter sets of bevel gear packaging mechanism, spiral auxiliary mechanism, cutter mechanism and tension control mechanism were obtained, and the initial design matrix of fruit packaging machine was constructed. The structural design of fruit packaging machine was obtained by combining AD independent axiom and TRIZ conflict principle. Finally, the feasibility of scheme was verified by orthogonal experiment. The orthogonal test of packaging machine was carried out. Results: The test results showed that when the opening distance was 120 mm, the forward speed was 65 mm/s, and the Angle of the fruit tube is 40°, the packing effect of apple was the best, the success rate of packing machine was 92%. Conclusion: Automatic packaging for spherical fruit could be solved the existing problem of automatic packing by using foaming net, the test index met low damage rate and high efficiency.

Publication Date

10-30-2023

First Page

103

Last Page

109,161

DOI

10.13652/j.spjx.1003.5788.2022.81209

References

[1] 郑志伟, 张慧. 球形水果气柱袋全自动包装机的设计方案[J]. 包装与食品机械, 2021, 39(6): 60-63. ZHENG Z W, ZHANG H. Design scheme of fully automatic packaging of spherical fruits in air column bags[J]. Packaging and Food Machinery, 2021, 39(6): 60-63.
[2] 李静, 祖江颖, 王依晨, 等. 基于AHP和模糊综合评价方法的儿童早教机设计[J]. 包装工程, 2021, 42(2): 118-122, 142. LI J, ZU J Y, WANG Y C, et al. Design of early childhood instructor based on AHP and fuzzy comprehensive evaluation method[J]. Packaging Engineering, 2021, 42(2): 118-122, 142.
[3] 李小彤, 胡昌格. 基于QFD-TRIZ理论的筒纱包装生产线造型设计[J]. 包装工程, 2022, 43(8): 92-100. LI X T, HU C G. Modeling design of cheese packaging machinery based on QFD and TRIZ[J]. Packaging Engineering, 2022, 43(8): 92-100.
[4] 张彩丽, 杨帆, 任工昌. 产品创新设计方法中TRIZ和QFD的集成模式研究[J]. 机械设计与研究, 2014, 30(5): 30-33, 37. ZHANG C L, YANG F, REN G C. Research on TRIZ and QFD-based integrated pattern for product innovation design method[J]. Machine Design & Research, 2014, 30(5): 30-33, 37.
[5] 李晓杰, 梁健, 李海泉. 基于AHP/QFD与TRIZ的地震救援机器人设计[J]. 机械设计, 2021, 38(11): 121-128. LI X J, LIANG J, LI H Q. Design of earthquake rescue robot based on AHP/QFD and TRIZ[J]. Journal of Machine Design, 2021, 38(11): 121-128.
[6] 苏建宁, 魏晋. 基于AHP/QFD/TRIZ的玫瑰花蕾采摘机设计[J]. 机械设计, 2020, 37(8): 121-126. SU J N, WEI J. Design of rose buds picking machine based on AHP/QFD/TRIZ[J]. Journal of Machine Design, 2020, 37(8): 121-126.
[7] 钟诗胜, 吴惠霞, 王琳. 基于QFD和公理化设计的模块划分方法研究[J]. 机械设计与制造, 2013(1): 98-100. ZHONG S S, WU H X, WANG L. Research on modules partion based on QFD and AD[J]. Machinery Design & Manufacture, 2013(1): 98-100.
[8] 付晓莉, 许桥, 杨树峰, 等. 基于AHP与TRIZ的馒头机生产线设计[J]. 食品与机械, 2021, 37(11): 81-86. FU X L, XU Q, YANG S F, et al. Design of steamed bread machine production line based on AHP and TRIZ theory[J]. Food & Machinery, 2021, 37(11): 81-86.
[9] 檀润华. TRIZ及应用: 技术创新过程及方法[M]. 北京: 高等教育出版社, 2010: 133-141. TAN R H. TRIZ and applications: The process and methods of technological innovation[M]. Beijing: Higher Education Press, 2010: 133-141.
[10] 郭弘凌, 田怀文, 柯小甜. 基于层次分析法和相关性矩阵的先进设计技术分类方法[J]. 机械设计与研究, 2016, 32(1): 1-5, 13. GUO H L, TIAN H W, KE X T. Advanced design technology classification based on AHP and correlation matrix[J]. Machine Design & Research, 2016, 32(1): 1-5, 13.
[11] 武春龙, 朱天明, 张鹏, 等. 基于功能模型和层次分析法的智能产品服务系统概念方案构建[J]. 中国机械工程, 2020, 31(7): 853-864, 870. WU C L, ZHU T M, ZHANG P, et al. Conceptual scheme construction of smart PSS based on functional model and AHP[J]. China Mechanical Engineering, 2020, 31(7): 853-864, 870.
[12] 王俊平, 徐刚. 机器视觉和电子鼻融合的番茄成熟度检测方法[J]. 食品与机械, 2022, 38(2): 148-152. WANG J P, XU G. Research on tomato maturity detection method based on machine vision and electronic nose fusion[J]. Food & Machinery, 2022, 38(2): 148-152.
[13] CHEN J L, ZHANG M, XU B G, et al. Artificial intelligence assisted technologies for controlling the drying of fruits and vegetables using physical fields: A review[J]. Trends in Food Science & Technology, 2020, 105: 251-260.
[14] FAN S X, LI J B, ZHANG Y H, et al. On line detection of defective apples using computer vision system combined with deep learning methods[J]. Journal of Food Engineering, 2020, 286: 1-10.

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.