Evidence map›Paper›PMID 35009527›Full record

ReviewMaterials (Basel, Switzerland)2022

Optimization of Polymer Processing: A Review (Part I-Extrusion).

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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.

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

Given the global economic and societal importance of the polymer industry, the continuous search for improvements in the various processing techniques is of practical primordial importance. This review evaluates the application of optimization methodologies to the main polymer processing operations. The most important characteristics related to the usage of optimization techniques, such as the nature of the objective function, the type of optimization algorithm, the modelling approach used to evaluate the solutions, and the parameters to optimize, are discussed. The aim is to identify the most important features of an optimization system for polymer processing problems and define the best procedure for each particular practical situation. For this purpose, the state of the art of the optimization methodologies usually employed is first presented, followed by an extensive review of the literature dealing with the major processing techniques, the discussion being completed by considering both the characteristics identified and the available optimization methodologies. This first part of the review focuses on extrusion, namely single and twin-screw extruders, extrusion dies, and calibrators. It is concluded that there is a set of methodologies that can be confidently applied in polymer processing with a very good performance and without the need of demanding computation requirements.

Indexed as

artificial intelligenceblow mouldinginjection mouldingoptimizationpolymer processingsingle screwthermoformingtwin screw

Identifiers

PMID35009527
PMCPMC8746397

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.