Design and Analysis of Cushioning Packaging for Home Appliances

Gui, Kun; Xi, Wang

doi:10.1016/j.proeng.2017.01.240

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…The second approach employs computers and simulation software to analyze possible damages to certain products. In [ 24 ], authors used finite element software ABAQUS to simulate a model of shock applied to home appliances. With the executed simulations, the performance of the package liner is tested.…”

Section: Related Workmentioning

confidence: 99%

Smart Sticker Ultra-Low-Power Shock Detection in the Supply Chain

Matić

Zidar

Aleksi

et al. 2022

Sensors

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This paper presents a shock detection device for packages in the supply chain. The primary purpose is to identify package damage during storage, delivery, and handling. Additionally, products are likely to be damaged if dropped from a certain height, which sometimes does not appear on the package. By continuously measuring package vibrations and detecting shocks in the supply chain, consumers can gain an insight into the state of the product upon delivery. This paper presents the Smart Sticker implementation for ultra-low-power shock detection in the supply chain. The overall energy consumption must be kept as low as possible while continuously sensing the presence of shock to ensure that the Smart Sticker’s battery lasts as long as possible. The Smart Sticker functions in three modes to meet the established constraints: low-power, active, and data transfer mode. While detecting the shock, the low-power mode uses the least amount of energy needed. If the shock exceeds the threshold, the Smart Sticker enters active mode, stores the detected g force value in memory, and then switches back to low-power mode. Finally, employing Near Field Communication (NFC) and energy harvesting, the data transfer mode allows the consumer to read the recorded data. The results show that the Smart Sticker for shock detection performs according to set requirements and successfully monitors and detects shock for packages in the supply chain.

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Section: Related Workmentioning

confidence: 99%

Smart Sticker Ultra-Low-Power Shock Detection in the Supply Chain

Matić

Zidar

Aleksi

et al. 2022

Sensors

View full text Add to dashboard Cite

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“…This packaging application has been extensively utilized across many industries, not only in food packaging, but also for all kinds of fast-moving consumer goods and household and electronic appliances [ 7 , 8 , 9 , 10 , 11 ]. Presently, the most popular polymer-based cushioning for home appliances is polystyrene (PS) foam [ 12 ]. Polystyrene foam is classified into two types: expanded rigid open-cell, which produces loose-fill foam, and expanded flexible closed-cell, which can be molded into a variety of shapes with a normal density range from 11 to 32 kg/m 3 [ 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Polystyrene foam is classified into two types: expanded rigid open-cell, which produces loose-fill foam, and expanded flexible closed-cell, which can be molded into a variety of shapes with a normal density range from 11 to 32 kg/m 3 [ 13 , 14 , 15 , 16 ]. Due to its high impact resistance, its ultralightweight, durable, low thermal conductivity, and its ability to be molded into any shape or size, this rigid foam has been used as a shock absorber (inserts) in a variety of packaging appliances [ 7 , 12 , 17 , 18 , 19 , 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Packaging Design for Molded Expanded Polystyrene Cushion

et al. 2023

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A molded expanded polystyrene (EPS) cushion is a flexible, closed-cell foam that can be molded to fit any packing application and is effective at absorbing shock. However, the packaging waste of EPS cushions causes pollution to landfills and the environment. Despite being known to cause pollution, this sustainable packaging actually has the potential to reduce this environmental pollution because of its reusability. Therefore, the objective of this study is to identify the accurate design parameter that can be emphasized in producing a sustainable design of EPS cushion packaging. An experimental method of drop testing and design simulation analysis was conducted. The effectiveness of the design parameters was also verified. Based on the results, there are four main elements that necessitate careful consideration: rib positioning, EPS cushion thickness, package layout, and packing size. These parameter findings make a significant contribution to sustainable design, where these elements were integrated directly to reduce and reuse packaging material. Thus, it has been concluded that 48 percent of the development cost of the cushion was decreased, 25 percent of mold modification time was significantly saved, and 27 percent of carbon dioxide (CO₂) reduction was identified. The findings also aided in the development of productive packaging design, in which these design elements were beneficial to reduce environmental impact. These findings had a significant impact on the manufacturing industry in terms of the economics and time of the molded expanded polystyrene packaging development.

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“…When elastomeric foam materials used as shoe materials, [ 10 ] fatigue life prediction can help shoe companies to modify it in a better way and prepare cushioning and shock‐absorbing shoe materials with excellent mechanical properties; then elastomer foam materials can used in home appliances, etc. While cushioning packaging, [ 11 ] fatigue life prediction can protect the product to the extreme extent and reduces the damage during transportation.…”

Section: Introductionmentioning

confidence: 99%

Microcellular Ethylene–Vinyl Acetate Copolymer Foam: Life Prediction Under Reciprocating Compression

et al. 2021

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The fatigue law of ethylene–vinyl acetate copolymer (EVA) foam has investigated through its fatigue characteristics of reciprocating compression, to construct its fatigue life prediction model. EVA foam samples are prepared by supercritical fluid foaming method. The MTS‐831 material testing machine is used to perform a reciprocating compression fatigue test with a constant load of 100 000 cycles. The constructed fatigue life prediction model is based on the relationship between the average modulus and the strain. The parameters of the model are determined by the results of reciprocating compression testing. This model can predict the fatigue results after 100 000 cycles of reciprocating compression with the results of 1000th cycle. The results suggest that the plastic deformation increases with the increase of cycles, the average modulus increases with the increase of gel content, and the relationship between stress and strain is nonlinear. Error analysis and model verification confirms that the predicted value is consistent with the experimental results, and the model predicted results are accurate and credible.

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Design and Analysis of Cushioning Packaging for Home Appliances

Cited by 8 publications

References 5 publications

Smart Sticker Ultra-Low-Power Shock Detection in the Supply Chain

Smart Sticker Ultra-Low-Power Shock Detection in the Supply Chain

Sustainable Packaging Design for Molded Expanded Polystyrene Cushion

Microcellular Ethylene–Vinyl Acetate Copolymer Foam: Life Prediction Under Reciprocating Compression

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