Evidence map›Paper›PMID 35161080›Full record

ReviewMaterials (Basel, Switzerland)2022

Optimization of Polymer Processing: A Review (Part II-Molding Technologies).

António Gaspar-Cunha, José A Covas, Janusz Sikora

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

António Gaspar-CunhaInstitute of Polymers and Composites, University of Minho, Campus de Azurém, 4804-533 Guimarães, Portugal.ORCID 0000-0001-7777-7625
José A CovasInstitute of Polymers and Composites, University of Minho, Campus de Azurém, 4804-533 Guimarães, Portugal.ORCID 0000-0002-0790-5801
Janusz SikoraDepartment of Technology and Polymer Processing, Faculty of Mechanical Engineering, Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland.ORCID 0000-0002-2790-8823

Funding

European Union's Horizon 2020 734205-H2020-MSCA-RISE-2016Fundação para a Ciência e Tecnologia UID-B/05256/2020Fundação para a Ciência e Tecnologia UID-P/05256/2020NAWA-Narodowa Agencja Wymiany Akademickiej PPN/ULM/2020/1/00125
6 · The paper itself

Abstract

The application of optimization techniques to improve the performance of polymer processing technologies is of great practical consequence, since it may result in significant savings of materials and energy resources, assist recycling schemes and generate products with better properties. The present review aims at identifying and discussing the most important characteristics of polymer processing optimization problems in terms of the nature of the objective function, optimization algorithm, and process modelling approach that is used to evaluate the solutions and the parameters to optimize. Taking into account the research efforts developed so far, it is shown that several optimization methodologies can be applied to polymer processing with good results, without demanding important computational requirements. Furthermore, within the field of artificial intelligence, several approaches can reach significant success. The first part of this review demonstrated the advantages of the optimization approach in polymer processing, discussed some concepts on multi-objective optimization and reported the application of optimization methodologies to single and twin screw extruders, extrusion dies and calibrators. This second part focuses on injection molding, blow molding and thermoforming technologies.

Indexed as

artificial intelligenceblow moldinginjection moldingoptimizationpolymer processingsingle screwthermoformingtwin screw

Identifiers

PMID35161080
PMCPMC8839065

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.