Efficient utilization of plastic waste through product design and process adaptation: A case study on stiffness enhancement of beams produced from plastic lumber

2008 ◽  
Vol 27 (3) ◽  
pp. 133-142 ◽  
Author(s):  
Cristian Pio ◽  
Antonio Greco ◽  
Alfonso Maffezzoli ◽  
Alessandro Marseglia
Keyword(s):  
Product Design ◽  
Plastic Waste ◽  
Efficient Utilization ◽  
Process Adaptation ◽  
Plastic Lumber

A Perspective on the Prowaste Concept: Efficient Utilization of Plastic Waste through Product Design and Process Innovation

2017 ◽  
pp. 185-214
Author(s):  
Antonio Greco ◽  
Mariaenrica Frigione ◽  
Alfonso Maffezzoli ◽  
Alessandro Marseglia ◽  
Alessandra Passaro
Keyword(s):  
Product Design ◽  
Process Innovation ◽  
Plastic Waste ◽  
Efficient Utilization

scholarly journals A Perspective on the Prowaste Concept: Efficient Utilization of Plastic Waste through Product Design and Process Innovation

Materials ◽  
2014 ◽  
Vol 7 (7) ◽  
pp. 5385-5402 ◽  
Author(s):  
Antonio Greco ◽  
Mariaenrica Frigione ◽  
Alfonso Maffezzoli ◽  
Alessandro Marseglia ◽  
Alessandra Passaro
Keyword(s):  
Product Design ◽  
Process Innovation ◽  
Plastic Waste ◽  
Efficient Utilization

scholarly journals Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

2021 ◽  
Vol 13 (6) ◽  
pp. 3553
Author(s):  
Philippe Nimmegeers ◽  
Alexej Parchomenko ◽  
Paul De Meulenaere ◽  
Dagmar R. D’hooge ◽  
Paul H. M. Van Steenberge ◽  
...  
Keyword(s):  
Circular Economy ◽  
Real Life ◽  
Plastic Waste ◽  
Entropy Analysis ◽  
Waste Collection ◽  
Statistical Entropy ◽  
Waste Streams ◽  
Material Component ◽  
Future Work

Multilevel statistical entropy analysis (SEA) is a method that has been recently proposed to evaluate circular economy strategies on the material, component and product levels to identify critical stages of resource and functionality losses. However, the comparison of technological alternatives may be difficult, and equal entropies do not necessarily correspond with equal recyclability. A coupling with energy consumption aspects is strongly recommended but largely lacking. The aim of this paper is to improve the multilevel SEA method to reliably assess the recyclability of plastics. Therefore, the multilevel SEA method is first applied to a conceptual case study of a fictitious bag filled with plastics, and the possibilities and limitations of the method are highlighted. Subsequently, it is proposed to extend the method with the computation of the relative decomposition energies of components and products. Finally, two recyclability metrics are proposed. A plastic waste collection bag filled with plastic bottles is used as a case study to illustrate the potential of the developed extended multilevel SEA method. The proposed extension allows us to estimate the recyclability of plastics. In future work, this method will be refined and other potential extensions will be studied together with applications to real-life plastic products and plastic waste streams.

scholarly journals Cyber-Empathic Design: A Data Driven Framework for Product Design

2016 ◽  
Author(s):  
Dipanjan D. Ghosh ◽  
Junghan Kim ◽  
Andrew Olewnik ◽  
Arun Lakshmanan ◽  
Kemper E. Lewis
Keyword(s):  
Product Design ◽  
Structural Equation ◽  
Design Space ◽  
Equation Modeling ◽  
Design Decision ◽  
Interaction Data ◽  
Model Framework ◽  
Empathic Design ◽  
Product Interaction

One of the critical tasks in product design is to map information from the consumer space to the design space. Currently, this process is largely dependent on the designer to identify and map how psychological and consumer level factors relate to engineered product attributes. In this way current methodologies lack provision to test a designer’s cognitive reasoning and could therefore introduce bias while mapping from consumer to design space. Also, current dominant frameworks do not include user-product interaction data in design decision making and neither do they assist designers in understanding why a consumer has a particular perception about a product. This paper proposes a new framework — Cyber-Empathic Design — where user-product interaction data is acquired via embedded sensors in the products. To understand the motivations behind consumer perceptions, a network of latent constructs is used which forms a causal model framework. Structural Equation Modeling is used as the parameter estimation and hypothesis testing technique making the framework falsifiable in nature. To demonstrate the framework and demonstrate its effectiveness a case study of sensor integrated shoes is presented in this work, where two models are compared — one survey based and using the Cyber-Empathic framework model. It is shown that the Cyber-Empathic framework results in improved fit. The case study also demonstrates the technique to test a designers’ cognitive hypothesis.

Metabolic Cascade for Remediation of Plastic Waste: a Case Study on Microplastic Degradation

2022 ◽  
Author(s):  
Vivek K. Gaur ◽  
Shivangi Gupta ◽  
Poonam Sharma ◽  
Pallavi Gupta ◽  
Sunita Varjani ◽  
...  
Keyword(s):  
Plastic Waste
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