- DOI: 10.1016/j.jer.2023.09.005
- Corpus ID: 261606111
A comprehensive literature review on friction stir welding: process parameters, joint integrity, and mechanical properties
- S. Kilic , Fahrettin Ozturk , Mehmet Fatih Demirdogen
- Published in Journal of Engineering… 1 September 2023
- Engineering, Materials Science
5 Citations
Thickness effect of 2195 al–li alloy friction stir weld fracture toughness, influence of copper interlayer on the mechanical performance of friction stir welded aa2024, experimental investigation of friction stir welding with special spherical ball shoulder different probe tools and parameters for enhanced material properties of aa2219 aluminium alloy, a review of recent developments in friction stir welding for various industrial applications, examining and optimizing the weld area and mechanical performance of thermoplastic parts manufactured by additive manufacturing and welded by friction stir welding, 130 references, the mechanical properties of dissimilar/similar polymer materials joined by friction stir welding, a review of orbital friction stir welding, a novel lap-butt joint design for fsw of aluminum to steel in tee-configuration: joining mechanism, intermetallic formation, and fracture behavior, analysis of sensitivity and formulation of empirical relationship between parameters of fsw process and tensile strength of az80a mg alloy joints, applications of machine learning in friction stir welding: prediction of joint properties, real-time control and tool failure diagnosis, in line nondestructive testing for sheet metal friction stir welding, a review paper of fsw on dissimilar materials using aluminum, friction stir welding of aluminum in the aerospace industry: the current progress and state-of-the-art review, friction stir welding of non-heat treatable al alloys: challenges and improvements opportunities, influence of distinct tool pin geometries on aluminum 8090 fsw joint properties, related papers.
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Real-time sensing of gas metal arc welding process – A literature review and analysis
- Electrical and Computer Engineering
- Stanley and Karen Pigman College of Engineering
Research output : Contribution to journal › Review article › peer-review
Welding is a major manufacturing process that joins two or more pieces of materials together through heating/mixing them, with or without pressure, as they cool and solidify. The goal of welding manufacturing is to join materials together to meet service requirements at the lowest costs. Advanced welding manufacturing (AWM) is to use scientific methods to realize this goal. It involves three steps: (1) pre-design that selects process and joint design based on available processes (properties, capabilities, and costs); (2) design that uses models to predict the result from a given set of welding parameters and minimizes a cost function for optimizing the welding parameters; (3) real-time sensing and control that overcome the deviations of welding conditions from their nominal ones used in optimizing the welding parameters by adjusting the welding parameters based on such real-time sensing and feedback control. While step (1) and (2) are pre-manufacturing designs, step (3) is the step during manufacturing that must be addressed by manufacturers. This report reviews and analyzes the state-of-the-art in real-time sensing of the gas metal arc welding, that is the most widely used robotic welding process, including seam tracking, machine vision, weld pool monitoring, machine learning, etc.
| Original language | English |
|---|---|
| Pages (from-to) | 452-469 |
| Number of pages | 18 |
| Journal | Journal of Manufacturing Processes |
| Volume | 70 |
| DOIs | |
| State | Published - Oct 2021 |
Bibliographical note
- Deep learning
- Gas metal arc welding
- Machine learning
- Seam tracking
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering
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- 10.1016/j.jmapro.2021.08.058
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- Link to publication in Scopus
- Link to the citations in Scopus
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- Welding Engineering 100%
- Gas Metal Arc Welding Engineering 100%
- Gas Fuel Manufacture Engineering 60%
- Design Engineering 40%
- Materials Material Science 40%
- Welds Engineering 20%
- Models Engineering 20%
- Joint Design Engineering 20%
T1 - Real-time sensing of gas metal arc welding process – A literature review and analysis
AU - Cheng, Yongchao
AU - Yu, Rui
AU - Zhou, Quan
AU - Chen, Heming
AU - Yuan, Wei
AU - Zhang, Yu Ming
N1 - Publisher Copyright: © 2021
PY - 2021/10
Y1 - 2021/10
N2 - Welding is a major manufacturing process that joins two or more pieces of materials together through heating/mixing them, with or without pressure, as they cool and solidify. The goal of welding manufacturing is to join materials together to meet service requirements at the lowest costs. Advanced welding manufacturing (AWM) is to use scientific methods to realize this goal. It involves three steps: (1) pre-design that selects process and joint design based on available processes (properties, capabilities, and costs); (2) design that uses models to predict the result from a given set of welding parameters and minimizes a cost function for optimizing the welding parameters; (3) real-time sensing and control that overcome the deviations of welding conditions from their nominal ones used in optimizing the welding parameters by adjusting the welding parameters based on such real-time sensing and feedback control. While step (1) and (2) are pre-manufacturing designs, step (3) is the step during manufacturing that must be addressed by manufacturers. This report reviews and analyzes the state-of-the-art in real-time sensing of the gas metal arc welding, that is the most widely used robotic welding process, including seam tracking, machine vision, weld pool monitoring, machine learning, etc.
AB - Welding is a major manufacturing process that joins two or more pieces of materials together through heating/mixing them, with or without pressure, as they cool and solidify. The goal of welding manufacturing is to join materials together to meet service requirements at the lowest costs. Advanced welding manufacturing (AWM) is to use scientific methods to realize this goal. It involves three steps: (1) pre-design that selects process and joint design based on available processes (properties, capabilities, and costs); (2) design that uses models to predict the result from a given set of welding parameters and minimizes a cost function for optimizing the welding parameters; (3) real-time sensing and control that overcome the deviations of welding conditions from their nominal ones used in optimizing the welding parameters by adjusting the welding parameters based on such real-time sensing and feedback control. While step (1) and (2) are pre-manufacturing designs, step (3) is the step during manufacturing that must be addressed by manufacturers. This report reviews and analyzes the state-of-the-art in real-time sensing of the gas metal arc welding, that is the most widely used robotic welding process, including seam tracking, machine vision, weld pool monitoring, machine learning, etc.
KW - Control
KW - Deep learning
KW - Gas metal arc welding
KW - Machine learning
KW - Monitoring
KW - Seam tracking
KW - Sensing
KW - Sensor
KW - Weld pool
KW - Welding
UR - http://www.scopus.com/inward/record.url?scp=85114673484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114673484&partnerID=8YFLogxK
U2 - 10.1016/j.jmapro.2021.08.058
DO - 10.1016/j.jmapro.2021.08.058
M3 - Review article
AN - SCOPUS:85114673484
SN - 1526-6125
JO - Journal of Manufacturing Processes
JF - Journal of Manufacturing Processes
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Toxicological Profile for Creosote. Atlanta (GA): Agency for Toxic Substances and Disease Registry (US); 2024 Jul.
Toxicological Profile for Creosote.
- For available Draft for Public Comment versions visit ATSDR
APPENDIX C FRAMEWORK FOR ATSDR’S SYSTEMATIC REVIEW OF HEALTH EFFECTS DATA FOR CREOSOTE
- Step 1. Problem Formulation
- Step 2. Literature Search and Screen for Health Effects Studies
- Step 3. Extract Data from Health Effects Studies
- Step 4. Identify Potential Health Effect Outcomes of Concern
- Step 5. Assess the Risk of Bias for Individual Studies
- Step 6. Rate the Confidence in the Body of Evidence for Each Relevant Outcome
- Step 7. Translate Confidence Rating into Level of Evidence of Health Effects
- Step 8. Integrate Evidence to Develop Hazard Identification Conclusions
C.1. PROBLEM FORMULATION
The objective of the toxicological profile and this systematic review was to identify the potential health hazards associated with inhalation, oral, or dermal/ocular exposure to creosote. The inclusion criteria used to identify relevant studies examining the health effects of creosote are presented in Table C-1 .
Data from human and laboratory animal studies were considered relevant for addressing this objective. Human studies were divided into two broad categories: observational epidemiology studies and controlled exposure studies. The observational epidemiology studies were further divided: cohort studies (retrospective and prospective studies), population studies (with individual data or aggregate data), and case-control studies.
Table C-1 Inclusion Criteria for Identifying Health Effects Studies
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| Species Human Laboratory mammals |
| Route of exposure Inhalation Oral Dermal (or ocular) Parenteral (these studies will be considered supporting data) |
| Health outcome Death Systemic effects Body weight effects Respiratory effects Cardiovascular effects Gastrointestinal effects Hematological effects Musculoskeletal effects Hepatic effects Renal effects Dermal effects Ocular effects Endocrine effects Immunological effects Neurological effects Reproductive effects Developmental effects Other noncancer effects Cancer |
C.2. LITERATURE SEARCH AND SCREEN FOR HEALTH EFFECTS STUDIES
As noted in Appendix B , the current literature search was intended to update the Draft Toxicological Profile for Creosote released for public comment in 2023; thus, the literature search was restricted to studies published between November 2000 and November 2023. See Appendix B for the databases searched and the search strategy.
A total of 377 records relevant to all sections of the toxicological profile were identified (after duplicate removal).
C.2.1. Literature Screening
As described in Appendix B , a two-step process was used to screen the literature search to identify relevant studies examining the health effects of creosote.
Title and Abstract Screen. In the Title and Abstract Screen step, 377 records were reviewed; there were no new documents that were considered to meet the health effects inclusion criteria in Table C-1 and were moved to the next step in the process.
Full Text Screen. In the second step in the literature screening process for the systematic review, a full text review of 155 health effect documents (documents cited in older versions of the profile) was performed. From those 155 documents, 193 studies were considered for inclusion in the qualitative review.
C.3. EXTRACT DATA FROM HEALTH EFFECTS STUDIES
Relevant data extracted from the individual studies selected for inclusion in the systematic review were collected in customized data forms. A summary of the type of data extracted from each study is presented in Table C-2 . For references that included more than one experiment or species, data extraction records were created for each experiment or species.
Table C-2 Data Extracted from Individual Studies
| Citation |
| Chemical form |
| Route of exposure (e.g., inhalation, oral, dermal) |
| Specific route (e.g., gavage in oil, drinking water) |
| Species |
| Strain |
| Exposure duration category (e.g., acute, intermediate, chronic) |
| Exposure duration |
| Frequency of exposure (e.g., 6 hours/day, 5 days/week) |
| Exposure length |
| Number of animals or subjects per sex per group |
| Dose/exposure levels |
| Parameters monitored |
| Description of the study design and method |
| Summary of calculations used to estimate doses (if applicable) |
| Summary of the study results |
| Reviewer’s comments on the study |
| Outcome summary (one entry for each examined outcome) |
| No-observed-adverse-effect level (NOAEL) value |
| Lowest-observed-adverse-effect level (LOAEL) value |
| Effect observed at the LOAEL value |
A summary of the extracted data for each study is presented in the Supplemental Document for Creosote and overviews of the results of the inhalation, oral, and dermal exposure studies are presented in Sections 2.2 – 2.18 of the profile and in the Levels Significant Exposures tables in Section 2.1 of the profile ( Tables 2-1 , 2-2 , 2-3 , and 2-4 , respectively).
C.4. IDENTIFY POTENTIAL HEALTH EFFECT OUTCOMES OF CONCERN
Overviews of the potential health effect outcomes for coal tar products and wood creosotes identified in human and animal studies are presented in Tables C-3 , C-4 , C-5 , and C-6 respectively. The available human studies are focused mainly on mortality and cancer following occupational exposure. Additional studies have reported respiratory, dermal, and hepatic effects. Animal studies have examined a number of endpoints following inhalation, oral, or dermal exposure, including cancer, and have reported body weight, respiratory, hematological, hepatic, reproductive, and developmental effects.
Studies were not carried through the systematic review process due to the complicated nature of creosote products. Coal tars products are complex mixtures of PAHs, phenols, heterocyclic oxygen, sulfur, and nitrogen compounds. Wood creosotes are derived from beechwood and the resin from leaves of the creosote bush. Beechwood creosote consists mainly of phenol, cresols, guaiacol, xylenol, and creosol, while creosote bush resin consists of phenolic (e.g., flavonoids and nordihydroguaiaretic acid), neutral (e.g., waxes), basic (e.g., alkaloids), and acidic (e.g., phenolic acids) compounds.
When evaluating health effect data for creosote, it is important to consider the composition of a particular creosote mixture. Wood creosote and coal tar product mixtures have highly variable compositions and the individual components do not always share the same mode of action. The mixtures’ composition is dependent on the sources and preparation parameters of coal tar creosote and, as a result, the creosote components are rarely consistent in their type and concentration. Thus, comparisons across studies are problematic, as toxicological evaluations of one creosote sample, for instance, is most likely inadequate for extrapolation to other creosote samples, unless their compositions are similar. This is demonstrated by inconsistent results observed in studies evaluating the same class of compounds; a single LOAEL value may not be representative for a class of compounds.
Therefore, ATSDR elected not to take the identified studies through the systematic review process for creosote, including wood creosote, coal tar creosote, coal tar, coal tar pitch, and coal tar pitch volatiles.
Table C-3 Overview of the Health Outcomes for Creosote (Coal Tar Products) Evaluated in Human Studies
| Body weight | Respiratory | Cardiovascular | Gastrointestinal | Hematological | Musculoskeletal | Hepatic | Renal | Dermal | Ocular | Endocrine | Immunological | Neurological | Reproductive | Developmental | Other Noncancer | Caner | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Inhalation studies | |||||||||||||||||
| Cohort | 2 | 2 | 3 | 61 | |||||||||||||
| 2 | 2 | 3 | 41 | ||||||||||||||
| Case control | 8 | ||||||||||||||||
| 4 | |||||||||||||||||
| Population | 2 | ||||||||||||||||
| 2 | |||||||||||||||||
| Case series | 1 | 1 | 3 | 1 | 2 | ||||||||||||
| 1 | 1 | 3 | 1 | 2 | |||||||||||||
| Cross sectional | 5 | 1 | 3 | 2 | 1 | 4 | 1 | 1 | 2 | 1 | 3 | ||||||
| 5 | 1 | 3 | 0 | 1 | 4 | 1 | 1 | 0 | 0 | 2 | |||||||
| Oral studies | |||||||||||||||||
| Cohort | |||||||||||||||||
| Case control | |||||||||||||||||
| Population | |||||||||||||||||
| Case series | 1 | 1 | 1 | ||||||||||||||
| 1 | 1 | 1 | |||||||||||||||
| Dermal studies | |||||||||||||||||
| Cohort | 1 | ||||||||||||||||
| 0 | |||||||||||||||||
| Case control | |||||||||||||||||
| Population | |||||||||||||||||
| Case series | 3 | 1 | |||||||||||||||
| 3 | 1 | ||||||||||||||||
| Clinical trial | 1 | 1 | 2 | 1 | |||||||||||||
| 0 | 0 | 2 | 1 | ||||||||||||||
| Number of studies examining endpoint | 0 | 1 | 2 | 3 | 4 | 5–9 | ≥10 |
| Number of studies reporting outcome | 0 | 1 | 2 | 3 | 4 | 5–9 | ≥10 |
Table C-4 Overview of the Health Outcomes for Creosote (Coal Tar Products) Evaluated in Experimental Animal Studies
| Body weight | Respiratory | Cardiovascular | Gastrointestinal | Hematological | Musculoskeletal | Hepatic | Renal | Dermal | Ocular | Endocrine | Immunological | Neurological | Reproductive | Developmental | Other Noncancer | Caner | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Inhalation studies | |||||||||||||||||
| Acute-duration | 3 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | |||||||||
| 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | ||||||||||
| Intermediate-duration | 7 | 5 | 4 | 3 | 5 | 5 | 4 | 2 | 3 | 3 | 3 | 3 | 3 | ||||
| 4 | 5 | 1 | 2 | 5 | 4 | 2 | 0 | 0 | 2 | 0 | 3 | 3 | |||||
| Chronic-duration | 2 | 2 | |||||||||||||||
| 1 | 2 | ||||||||||||||||
| Oral studies | |||||||||||||||||
| Acute-duration | 11 | 1 | 6 | 4 | 2 | 1 | 2 | 5 | 5 | ||||||||
| 4 | 0 | 0 | 2 | 0 | 0 | 2 | 0 | 5 | |||||||||
| Intermediate-duration | 5 | 2 | 2 | 4 | 2 | 2 | 2 | 2 | 2 | 2 | 1 | ||||||
| 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |||||||
| Chronic-duration | 2 | 2 | 2 | 2 | 2 | ||||||||||||
| 0 | 0 | 2 | 0 | 2 | |||||||||||||
| Dermal studies | |||||||||||||||||
| Acute-duration | 4 | 2 | 2 | 2 | 3 | 2 | 2 | 3 | 2 | 2 | |||||||
| 2 | 0 | 0 | 2 | 3 | 0 | 0 | 0 | 0 | 2 | ||||||||
| Intermediate-duration | 4 | 1 | 1 | 1 | 15 | ||||||||||||
| 0 | 0 | 0 | 0 | 13 | |||||||||||||
| Chronic-duration | 1 | 1 | 1 | 7 | |||||||||||||
| 0 | 1 | 1 | 7 | ||||||||||||||
Number of studies examining endpoint includes study evaluating histopathology, but not evaluating function.
Table C-5 Overview of the Health Outcomes for Creosote (Wood Creosotes) Evaluated in Human Studies
| Body weight | Respiratory | Cardiovascular | Gastrointestinal | Hematological | Musculoskeletal | Hepatic | Renal | Dermal | Ocular | Endocrine | Immunological | Neurological | Reproductive | Developmental | Other Noncancer | Caner | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Inhalation studies | |||||||||||||||||
| Cohort | |||||||||||||||||
| Case control | |||||||||||||||||
| Population | |||||||||||||||||
| Case series | |||||||||||||||||
| Oral studies | |||||||||||||||||
| Cohort | |||||||||||||||||
| Case control | |||||||||||||||||
| Population | |||||||||||||||||
| Case series | 1 | 4 | 2 | 1 | 1 | ||||||||||||
| 1 | 4 | 1 | 1 | 1 | |||||||||||||
| Clinical trial | 2 | 1 | 2 | ||||||||||||||
| 0 | 0 | 2 | |||||||||||||||
| Dermal studies | |||||||||||||||||
| Cohort | |||||||||||||||||
| Case control | |||||||||||||||||
| Population | |||||||||||||||||
| Case series | 2 | 2 | |||||||||||||||
| 2 | 2 | ||||||||||||||||
| Clinical trial | 1 | 1 | |||||||||||||||
| 0 | 0 | ||||||||||||||||
Table C-6 Overview of the Health Outcomes for Creosote (Wood Creosotes) Evaluated in Experimental Animal Studies
| Body weight | Respiratory | Cardiovascular | Gastrointestinal | Hematological | Musculoskeletal | Hepatic | Renal | Dermal | Ocular | Endocrine | Immunological | Neurological | Reproductive | Developmental | Other Noncancer | Caner | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Inhalation studies | |||||||||||||||||
| Acute-duration | |||||||||||||||||
| Intermediate-duration | |||||||||||||||||
| Chronic-duration | |||||||||||||||||
| Oral studies | |||||||||||||||||
| Acute-duration | 2 | 2 | 2 | 2 | |||||||||||||
| 0 | 0 | 0 | 2 | ||||||||||||||
| Intermediate-duration | 3 | 2 | 2 | 3 | 3 | 3 | 2 | 2 | 2 | 2 | |||||||
| 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | ||||||||
| Chronic-duration | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 3 | ||||||
| 2 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | |||||||
| Dermal studies | |||||||||||||||||
| Acute-duration | |||||||||||||||||
| Intermediate-duration | |||||||||||||||||
| Chronic-duration | |||||||||||||||||
- Cite this Page Toxicological Profile for Creosote. Atlanta (GA): Agency for Toxic Substances and Disease Registry (US); 2024 Jul. APPENDIX C, FRAMEWORK FOR ATSDR’S SYSTEMATIC REVIEW OF HEALTH EFFECTS DATA FOR CREOSOTE.
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- PROBLEM FORMULATION
- LITERATURE SEARCH AND SCREEN FOR HEALTH EFFECTS STUDIES
- EXTRACT DATA FROM HEALTH EFFECTS STUDIES
- IDENTIFY POTENTIAL HEALTH EFFECT OUTCOMES OF CONCERN
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A Systematic Literature Review on Laser Welding of NiTi SMA
- Published: 13 December 2022
- Volume 10 , pages 77–117, ( 2023 )
Cite this article
- Soumya Ranjan Parimanik 1 ,
- Trupti Ranjan Mahapatra ORCID: orcid.org/0000-0001-7567-4323 1 &
- Debadutta Mishra 1
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In this paper, a systematic literature review (SLR) approach has been implemented to show up the research progress on the joining of Nitinol (NiTi) Shape Memory Alloy (SMA) using laser. The properties of NiTi alloy, like the shape memory effect (SME), super-elasticity and biocompatibility, endure it as a desirable material in several high-performance applications. Owing to the extensive use of NiTi SMAs in medical devices, micro-electrical components, aerospace industries etc. joining of this alloy has been a subject of investigation and attracted the attention of the scientific community. Considering its unique characteristics, getting a proper joining of NiTi alloys with self as well as other materials is not only tough but also challenging. Therefore, literature on the advancements in the joining of NiTi alloys is reviewed systematically. Various challenges and ranges of the scope of research during similar and dissimilar joining are addressed and summarized. The weld joint characteristics such as the tensile strength, microhardness, corrosion resistance and microstructural properties are also outlined. Different optimization techniques implemented to obtain the optimum parameter setting during welding and/or machining of these distinctive materials are appraised. The research gaps referred to the domain are identified and deliberated.
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Parimanik, S.R., Mahapatra, T.R. & Mishra, D. A Systematic Literature Review on Laser Welding of NiTi SMA. Lasers Manuf. Mater. Process. 10 , 77–117 (2023). https://doi.org/10.1007/s40516-022-00200-7
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DOI : https://doi.org/10.1007/s40516-022-00200-7
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