Multicriteria evaluation and optimization of the ultrasonic sealing performance based on design of experiments and response surface methodology

被引:3
|
作者
Dhuys, Karlien [1 ]
Bamps, Ram [2 ]
Peeters, Roos [2 ]
De Ketelaere, Bart [1 ]
机构
[1] Katholieke Univ Leuven, Dept Biosyst, MeBioS, Kasteelpk Arenberg 30, B-3001 Heverlee, Belgium
[2] Hasselt Univ, Packaging Technol Ctr, IMO IMOMEC, Hasselt, Belgium
关键词
design of experiments; multicriteria seal optimization; polyolefin packaging; response surface methodology; ultrasonic sealing; HEAT; PARAMETERS; STRENGTH; FILMS;
D O I
10.1002/pts.2425
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Proper closure is an essential packaging quality aspect and can, amongst others, be achieved with ultrasonic sealing. The ultrasonic sealing performance depends on the film type, and the seal settings, such as seal time, applied force and ultrasonic amplitude. Because these parameters are less intuitive than heat seal parameters and optimal settings are undefined for many films, this work presents an efficient approach to evaluate the effect of these settings on the ultrasonic sealing performance. An experimental design defines the experiments to perform. A response surface methodology is then used to model the relation between seal settings and sealing performance. Based on these models, the seal settings are optimized. As there are several criteria to express sealing performance, single-criteria and multicriteria optimizations are described. The approach was illustrated for a polyethylene terephthalate/linear low-density polyethylene-C4 film. The seal settings were optimized to obtain high seal strength, limited ultrasonic horn displacement, and low seal energy. The optimum settings were 0.1 seconds (seal time), 4.32 N/mm (force), and 28.75 mu m (amplitude). The predicted optimum strength, horn displacement, and energy were 2.32 N/mm, 40 mu m, and 11.66 J, respectively. Besides the optimum, the seal window is also of interest. A broad seal window ensures sufficient seal strength for a wide range of settings. For the polyethylene terephthalate/linear low-density polyethylene-C4 film, a strength of >= 90% of the optimum was obtained for 39% of the input combinations within the design space. The presented approach is widely applicable (other films and sealing processes) since it is flexible in the input parameters, design, and responses.
引用
收藏
页码:165 / 174
页数:10
相关论文
共 50 条
  • [1] Design of experiments based factorial design and response surface methodology for MEMS optimization
    Saleem, M. M.
    Soma, A.
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2015, 21 (01): : 263 - 276
  • [2] Design of experiments based factorial design and response surface methodology for MEMS optimization
    M. M. Saleem
    A. Somá
    Microsystem Technologies, 2015, 21 : 263 - 276
  • [3] Design and evaluation of a novel ultrasonic desalination system by response surface methodology
    Hosseingholilou, Behnam
    Banakar, Ahmad
    Mostafaei, Mostafa
    DESALINATION AND WATER TREATMENT, 2019, 164 : 263 - 275
  • [4] Optimization of ultrasonic extraction of liquiritin by response surface methodology
    Liu, Boyan
    Chen, Juan
    Dong, Cuiying
    2017 CHINESE AUTOMATION CONGRESS (CAC), 2017, : 5730 - 5734
  • [5] Engineering design optimization based on intelligent response surface methodology
    Song G.-H.
    Wu Y.
    Li C.-X.
    Journal of Shanghai Jiaotong University (Science), 2008, 13 E (03) : 285 - 290
  • [6] Engineering Design Optimization Based on Intelligent Response Surface Methodology
    宋国辉
    吴瑜
    李从心
    Journal of Shanghai Jiaotong University(Science), 2008, (03) : 285 - 290
  • [7] Performance optimization of lunar lander based on response surface methodology
    Wang, Jiajun
    Wang, Chunjie
    Song, Shunguang
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2014, 40 (05): : 707 - 711
  • [8] Ecofriendly Ultrasonic Rust Removal: An Empirical Optimization Based on Response Surface Methodology
    Zhang, Lijie
    He, Bing
    Wang, Shengnan
    Wang, Guangcun
    Yuan, Xiaoming
    COATINGS, 2021, 11 (09)
  • [9] Optimization of the performance of a double-chamber microbial fuel cell through factorial design of experiments and response surface methodology
    Madani, Sara
    Gheshlaghi, Reza
    Mahdavi, Mahmood Akhavan
    Sobhani, Mahdieh
    Elkamel, Ali
    FUEL, 2015, 150 : 434 - 440
  • [10] Preparation and Performance Investigation of Optimized Cement-Based Sealing Materials Based on the Response Surface Methodology
    Zhang, Junxiang
    Li, Bo
    Wang, Bo
    Qu, Lina
    Liu, Qi
    Zhu, Daohe
    ACS OMEGA, 2022, 7 (29): : 25380 - 25393