Evidence map›Paper›PMID 34372330›Full record

ArticleSensors (Basel, Switzerland)2021

Needs, Requirements and a Concept of a Tool Condition Monitoring System for the Aerospace Industry.

Sebastian Bombiński, Joanna Kossakowska, Mirosław Nejman, Rodolfo E Haber, Fernando Castaño, Robert Fularski

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Sebastian BombińskiFaculty of Mechanical Engineering, Kazimierz Pulaski University of Technology and Humanities in Radom, 26-610 Radom, Poland.
Joanna KossakowskaDept. of Automation and Metal Cutting, Warsaw University of Technology, 02-524 Warsaw, Poland.
Mirosław NejmanDept. of Automation and Metal Cutting, Warsaw University of Technology, 02-524 Warsaw, Poland.ORCID 0000-0003-4418-019X
Rodolfo E HaberCentre for Automation and Robotics, Spanish National Research Council-Technical University of Madrid, 28500 Madrid, Spain.ORCID 0000-0002-2881-0166
Fernando CastañoCentre for Automation and Robotics, Spanish National Research Council-Technical University of Madrid, 28500 Madrid, Spain.ORCID 0000-0002-4801-9224
Robert FularskiPratt & Whitney Rzeszów, 35-001 Rzeszów, Poland.ORCID 0000-0001-9994-2601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we describe the needs and specific requirements of the aerospace industry in the field of metal machining; specifically, the concept of an edge-computing-based production supervision system for the aerospace industry using a tool and cutting process condition monitoring system. The new concept was developed based on experience gained during the implementation of research projects in Poland's Aviation Valley at aerospace plants such as Pratt & Whitney and Lockheed Martin. Commercial tool condition monitoring (TCM) and production monitoring systems do not effectively meet the requirements and specificity of the aerospace industry. The main objective of the system is real-time diagnostics and sharing of data, knowledge, and system configurations among technologists, line bosses, machine tool operators, and quality control. The concept presented in this paper is a special tool condition monitoring system comprising a three-stage (natural wear, accelerated wear, and catastrophic tool failure) set of diagnostic algorithms designed for short-run machining and aimed at protecting the workpiece from damage by a damaged or worn tool.

Indexed as

AviationIndustryQuality Controlcyber-physical system (CPS)digital twinsupervision systemtool condition monitoring system (TCM)tool wear

Identifiers

PMID34372330
PMCPMC8347660

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.