Mrówczyński Damian, Gajewski Tomasz, Garbowski Tomasz
Doctoral School, Department of Biosystems Engineering, Poznan University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań, Poland.
Institute of Structural Analysis, Poznan University of Technology, Piotrowo 5, 60-965 Poznań, Poland.
Materials (Basel). 2023 Jan 1;16(1):412. doi: 10.3390/ma16010412.
Trays in which fruit and vegetables are transported over vast distances are not only stored in extreme climatic conditions but are also subjected to long-term loads. Therefore, it is very important to design them correctly and select the optimal raw material for their production. Geometric parameters that define the shape of the packaging may also be optimized in the design process. In this work, in order to select the most important parameters that affect the load capacity of a tray, sensitivity analysis was used. A sensitivity analysis is often the first step in the process of building artificial-intelligence-based surrogates. In the present work, using the example of a specific tray's geometry, the selection of starting parameters was carried out in the first step, based on the Latin hypercube sampling method. In the next step, local sensitivity analyses were performed at twenty selected starting points of the seventeen-dimensional space of the selected parameters. Based on the obtained results, it was possible to select the parameters that have a significant impact on the load capacity of the tray in the box compression test and whose influence is negligible or insignificant.
用于远距离运输水果和蔬菜的托盘不仅要在极端气候条件下储存，还要承受长期负荷。因此，正确设计托盘并为其生产选择最佳原材料非常重要。在设计过程中，定义包装形状的几何参数也可以进行优化。在这项工作中，为了选择影响托盘承载能力的最重要参数，采用了敏感性分析。敏感性分析通常是构建基于人工智能的替代模型过程中的第一步。在本工作中，以特定托盘的几何形状为例，第一步基于拉丁超立方抽样方法进行起始参数的选择。下一步，在所选参数的十七维空间中的二十个选定起始点进行局部敏感性分析。根据所得结果，可以选择在箱式压缩试验中对托盘承载能力有显著影响且其影响可忽略不计或不显著的参数。
