Eco-friendly natural rubber latex and modified starch-based adhesive for wood-based panels application- A review

Soubam, Triveni; Gupta, Arun

doi:10.54279/mijeec.v3i1.245163

Cited by 11 publications

(7 citation statements)

References 34 publications

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“…To enhance their strength, the natural rubber must be chemically modified or blended with synthetic resin. 34,35 This corroborates with current research, as it has been primarily shown that the properties of NRLbased adhesives can be improved by incorporating other bio-based polymers as fillers. For example, starch-reinforced NRL-based adhesives have been found to enhance the morphologies and mechanical properties of the overall adhesive system.…”

Section: Introductionsupporting

confidence: 88%

“…Traditionally, solvent‐based adhesives have outperformed biobased adhesives, but they have done so at the expense of the users. To enhance their strength, the natural rubber must be chemically modified or blended with synthetic resin 34,35 . This corroborates with current research, as it has been primarily shown that the properties of NRL‐based adhesives can be improved by incorporating other bio‐based polymers as fillers.…”

Section: Introductionsupporting

confidence: 82%

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Evaluation of an ammonia‐free natural rubber latex adhesive

Román,

Dibisa,

Pardo

et al. 2023

SPE Polymers

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Natural rubber latex (NRL) within the adhesives industry has had limited applications because of poor water and chemical resistance; additionally, conventional preservation methods with ammonia produce poor adhesive properties and introduce toxicity. Today, solvent‐based adhesives dominate the market because of their superior mechanical properties; however, they negatively affect the health of users depending on the application due to the toxic chemicals. In this study, we investigated using a novel NRL‐based ammonia‐free adhesive as primary materials with bio‐additives, specifically cellulose, and collagen, to enhance their mechanical property provide the industry with an adhesive safe to handle. The peeling strength of an ammonia‐free NRL, 60% dry rubber content (DRC) NRL, with cellulose and collagen (Industrial Adhesive) were compared to high‐performance adhesives used within the footwear and construction industry to prove these adhesives direct applicability within these industries. Our findings showed that the ammonia‐free NRL Industrial Adhesive exhibited superior mechanical properties when compared against resilient flooring adhesives and footwear adhesives. Additionally, the peeling strength of an ammonia‐free 35% DRC with only cellulose (Office Adhesive) was compared to PVA‐based Elmer's Glue and it was observed that the ammonia‐free NRL adhesive outperformed Elmer's Glue by almost reaching four times the peeling strength of Elmer's Glue.

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Section: Introductionsupporting

confidence: 88%

Section: Introductionsupporting

confidence: 82%

Evaluation of an ammonia‐free natural rubber latex adhesive

Román,

Dibisa,

Pardo

et al. 2023

SPE Polymers

View full text Add to dashboard Cite

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Section: Development Of Adhesives Based On Biosourcesmentioning

confidence: 99%

“…Another plant-extracted material is natural rubber, a biopolymer of cis -1,4-polyisoprene with a mixture of proteins, carbohydrates, and lipids in an aqueous phase, from the tree Hevea braziliensis . 74 It is an elastomeric biopolymer showing good flexibility, strength, and tack. However, it is difficult to bond with high-surface-energy materials requiring modification through epoxidation, 75 chlorination, 76 or grafting.…”

Section: Development Of Adhesives Based On Biosourcesmentioning

confidence: 99%

Adhesive Interfaces toward a Zero-Waste Industry

2022

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This Feature Article evaluates ongoing efforts to adapt adhesives toward the goal of zero-waste living and suggests the most promising future directions. Adhesives are not always considered in zero-waste manufacturing because they represent only a small fraction of a product and offer no additional functionality. However, their presence restricts the reintegration of constituent parts into a circular economy, so a new generation of adhesives is required. Furthermore, their production often leads to harmful pollutants. Here, two main approaches toward addressing these problems are considered: first, the use of natural materials that replace petroleum-based polymers from which conventional adhesives are made and second, the production of dismantlable adhesives capable of debonding on demand with the application of an external stimulus. These approaches, either individually or combined, offer a new paradigm in zero-waste industrial production and consumer applications.

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“…To meet the growing demand, much automated equipment is introduced in the panel production chain. At the raw material end, medium density man-made panels, high density man-made panels, and solid wood particle boards are commonly used as the main materials [ 4 ]. Inevitably, pits, bumps, oil spots, water spots, glue spots, chipped edges, bulging, and other problems are introduced in the processing process, which will directly affect the downstream surface lamination process.…”

Section: Introductionmentioning

confidence: 99%

Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates

Bai-zhan

Luo

Shi

2022

Computational Intelligence and Neuroscience

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Defect recognition plays an important part of panel inspection, and most of the current manual inspection methods are used, but the recognition efficiency and recognition accuracy are low. The Fast-Convolutional Neural Network (Faster R-CNN) algorithm is improved, and a surface defect detection algorithm based on the improved Faster R-CNN is proposed. Firstly, the algorithm improves the bilateral filtering algorithm to smooth the image texture background. Subsequently, a feature pyramid network with a shape-variable convolutional ResNet50 network can be applied to acquire defect semantic feature maps to improve the network’s ability to express the features of multiscale defects while solving the difficulty problem of many types of defects and variable shapes. To obtain more accurate defect localization information, the algorithm in this paper uses the Region of Interest Align (ROI Align) algorithm instead of the crude Region of Interest Pooling (ROI Pooling) algorithm. Then, an improved attention region recommendation network is used to improve the focus of the model on plate defects and suppress the features of complex background. Finally, a K-means algorithm is added to cluster the defect data to derive anchor frames that are better adapted to the plate defects. In this paper, a dataset containing 3216 images of surface defects of plate metal is made by acquiring surface defect images from the production site of the plate metal factory, which mainly include various defect types. This dataset is used to train and test the algorithm model of this paper, and the results of detection accuracy and detection speed are compared with those of other algorithms, which prove that the algorithm of this paper can achieve real-time detection of plate defects with high detection accuracy.

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Eco-friendly natural rubber latex and modified starch-based adhesive for wood-based panels application- A review

Cited by 11 publications

References 34 publications

Evaluation of an ammonia‐free natural rubber latex adhesive

Evaluation of an ammonia‐free natural rubber latex adhesive

Adhesive Interfaces toward a Zero-Waste Industry

Improved Faster R-CNN Based Surface Defect Detection Algorithm for Plates

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