Welding Metallurgy of
01 Jan 1987-
About: The article was published on 1987-01-01 and is currently open access. It has received 991 citations till now. The article focuses on the topics: Welding.
Citations
More filters
Journal Article•
TL;DR: In this article, the abrasive wear resistance of the API 5L X65 steel coated with niobium and Inconel 625 alloy was evaluated using a tribometer CETR and the coating roughness was determined using profilometry.
Abstract: The aim of this study was to evaluate the abrasive wear resistance of the API 5L X65 steel coated with niobium and Inconel 625 alloy. The niobium coating was obtained by thermal spray process with non-transferred arc plasma and the inconel 625 coating was obtained by shielded metal arc welding. The abrasion resistance was evaluated according to standard Petrobras N-2568, in a tribometer CETR and the coating roughness was determined using profilometry. The coating hardness was determined by Vickers microhardness. The coating morphologies were also characterized by scanning electron microscopy and optical microscopy. The high hardness of niobio coatings contributed to reducing the rate wear compared to the inconel 625 coating.
2 citations
Cites background from "Welding Metallurgy of"
...Estas zonas se asemejan, por lo que son analizadas mediante el diagrama de Schaeffler [11], de la región martensítica, donde la dureza es elevada, lo que puede comprometer la integridad de la unión soldada de estos materiales, que son diferentes....
[...]
14 Dec 2020
TL;DR: In this article, the authors compared the strength of assembly joints of sleeve elements made of different structural, polymeric materials, including polyvinyl chloride pipes, polypropylene pipes, and Vodaro 15010-VO one-component adhesive.
Abstract: The aim of the study was to compare the strength of assembly joints of sleeve elements made of different structural, polymeric materials. Experimental tests were carried out to determine the mechanical properties of adhesive and welded joints. Adhesive joints were made of polyvinyl chloride pipes with the use of three types of adhesives: Epidian 53/PAC/100:80, Epidian 53/TFF/100:22, Vodaro 15010-VO. The welded joints were made of polypropylene pipes. All of the joints have been made with the use of a pipe fitting allowing for correct joints. Then the completed joints were subjected to destructive strength tests. The obtained results made it possible to carry out statistical analysis, which aimed at determining significant differences between the various methods of assembly. The tests carried out proved that the adhesive joints made with the Vodaro 15010-VO one-component adhesive were characterized by the highest strength - 2.30 MPa. The lowest strength was obtained in the case of adhesive joints made with Epidian 53/TFF/100:22 - 0.45 MPa epoxy ad-hesive composition. Statistical analysis showed that the strength obtained in case of adhesive joints made with epoxy compositions differs significantly from the strength of adhesive joints made with Vodaro adhe-sive. No significant differences at the assumed level of significance α=0.05 were also observed in the case of the strength of PP-R adhesive joints made with Vodaro adhesive and the strength of PVC-U welded joints.
2 citations
TL;DR: In this paper, the microstructure and mechanical properties of tungsten inert gas (TIG) welding joint of 740H pipe were studied by optical microscope, scanning electron microscope and HV tester.
Abstract: Microstructure and mechanical property of tungsten inert gas (TIG) welding joint of 740H pipe were studied by optical microscope, scanning electron microscope and HV tester in this paper. The principal segregated elements in fusion zone of 740H weldment were Nb and Ti. The discontinuous MC-type phase with irregular shape and γ′ phase were distributed in the interdendritic region. The γ′, M23C6 and MC phases on grain boundary in heat affected zone (HAZ) dissolved into matrix. Hardness of weld metal and HAZ were apparantly lower than that of base metal. The previous weld bead was the heat affected zone of the subsequent weld metal, thus hardness was different in different area of the fusion zone (FZ). After the postweld heat treatment of 800°C/4h followed by air cooling, the volume fraction of γ′ in the interdendritic region was larger than that in the dendrite arm. The hardness of HAZ and FZ were approximately equal to that of base metal (BM).
2 citations
24 May 2022
TL;DR: This paper has created a knowledge graph containing 65000+ triples using all data sources, and proposed a novel crowdsourcing method for KG creation by leveraging student notes, which contain invaluable information but are not captured as meaningful information.
Abstract: As the demands for large-scale information processing have grown, knowledge graph-based approaches have gained prominence for representing general and domain knowledge. The development of such general representations is essential, particularly in domains such as manufacturing which intelligent processes and adaptive education can enhance. Despite the continuous accumulation of text in these domains, the lack of structured data has created information extraction and knowledge transfer barriers. In this paper, we report on work towards developing robust knowledge graphs based upon entity and relation data for both commercial and educational uses. To create the FabKG (Manufacturing knowledge graph), we have utilized textbook index words, research paper keywords, FabNER (manufacturing NER), to extract a sub knowledge base contained within Wikidata. Moreover, we propose a novel crowdsourcing method for KG creation by leveraging student notes, which contain invaluable information but are not captured as meaningful information, excluding their use in personal preparation for learning and written exams. We have created a knowledge graph containing 65000+ triples using all data sources. We have also shown the use case of domain-specific question answering and expression/formula-based question answering for educational purposes.
2 citations
References
More filters
TL;DR: In this article, the state of the art in selective laser sintering/melting (SLS/SLM) processing of aluminium powders is reviewed from different perspectives, including powder metallurgy (P/M), pulsed electric current (PECS), and laser welding of aluminium alloys.
1,172 citations
TL;DR: In this article, the authors show that the pre-existing dislocation network, which maintains its configuration during the entire plastic deformation, is an ideal modulator that is able to slow down but not entirely block the dislocation motion.
557 citations
TL;DR: In this article, the fundamental understanding of structure-properties relationship in automotive steels resistance spot welds is discussed. And a brief review of friction stir spot welding, as an alternative to RSW, is also included.
Abstract: Spot welding, particularly resistance spot welding (RSW), is a critical joining process in automotive industry. The development of advanced high strength steels for applications in automotive industry is accompanied with a challenge to better understand the physical and mechanical metallurgy of these materials during RSW. The present paper critically reviews the fundamental understanding of structure–properties relationship in automotive steels resistance spot welds. The focus is on the metallurgical characteristics, hardness–microstructure correlation, interfacial to pullout failure mode transition and mechanical performance of steel resistance spot welds under quasi-static, fatigue and impact loading conditions. A brief review of friction stir spot welding, as an alternative to RSW, is also included.
369 citations
TL;DR: In this article, a unified equation to compute the energy density is proposed to compare works performed with distinct equipment and experimental conditions, covering the major process parameters: power, travel speed, heat source dimension, hatch distance, deposited layer thickness and material grain size.
369 citations
TL;DR: This study attempted to predict solidification defects by DNN regression with a small dataset that contains 487 data points and found that a pre-trained and fine-tuned DNN shows better generalization performance over shallow neural network, support vector machine, and DNN trained by conventional methods.
314 citations