An automated solution for fixtureless sheet metal forming

Ilangovan, Balaji; Monfared, Radmehr P.; Jackson, Michael R.

doi:10.1007/s00170-015-7366-x

Cited by 9 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another area of metalworking was also identified where we found study cases of traditional blacksmithing in which manual skill and experience with different tools, hammer, craft former, English wheel, and turning lathe for the manufacture of metal artifacts are shown (Russo B ., Cleaver, Allwood, & Loukaides, 2022) (Ilangovan, Monfared, & Jackson, 2016) (Rossi & Nicholas, 2018) (Bowen, Music, Erdinc, & Shokrani, 2021) (Russo, Cleaver, & Allwood, 2019) Similarly, we found a case study on manual skill in polishing metal parts (Kalt, Monfared, & Jackson, 2016). In addition, two particular case studies were identified on the skills for manual roughing of leather parts for shoe assembly, since it is an operation that requires great skill and experience on the part of the operator (Pedrocchi, Villagrossi, Cenat, & Tosatti , 2015).…”

Section: Robots and Automationsupporting

confidence: 65%

– The European Conference on Arts, Design and Education 2022 Official Conference Proceedings

2022

ECADE Official Conference Proceedings

View full text Add to dashboard Cite

Climate change is impacting on all aspects of contemporary life. Many artists provide a compelling vision for speculative futures, awakening a creative consciousness using imagined worldviews. This paper presents my practice-based research that aims to establish how visual art can engage with issues-based concepts and ideologies through the presentation, re-presentation, and interpretation as a framework for engaging with climate change issues and realigning society to sustainable futures. This paper takes theory, and artistic practice as methods means to respond to themes and issues of climate change. In the context of practical research, the arts-based approach and art theory research alternate between planning, theoretical research, practical action, reflection, and evaluation. Through digital art, this study creates a discursive space that relates to daily life, where people can deeply understand the interconnecting relationships between humans and the planet; simultaneously, it also shows people an achievable ecological future and encourages people to think and find an existence conducive to all. This existence is not the present, but a possibility for human beings to explore the future through the reshaping and reimagining of the present.

show abstract

Section: Robots and Automationsupporting

confidence: 65%

– The European Conference on Arts, Design and Education 2022 Official Conference Proceedings

2022

ECADE Official Conference Proceedings

View full text Add to dashboard Cite

show abstract

“…Lopez [16] proposed an intelligent assembly method using a 2D visual system and a learning system based on neural networks. The panel forming method proposed by Ilangovan [17] and the automatic polishing method proposed by Kalt [18] use visual and force sensors to correct the errors occurring in the manufacturing process. Mezouar et al [19] developed the external/hybrid visual force control scheme to overcome the drawbacks of the hybrid and impedance-based vision-force schemes, for which they provided an exhaustive comparative analysis.…”

Section: Review Of the Existing Solutionsmentioning

confidence: 99%

Research on Assembly Method of Threaded Fasteners Based on Visual and Force Information

2023

View full text Add to dashboard Cite

Threaded fastening operations are widely used in assembly and are typically time-consuming and costly. In low-volume, high-value manufacturing, fastening operations are carried out manually by skilled workers. The existing approaches are found to be less flexible and robust for performing assembly in a less structured industrial environment. This paper introduces a novel algorithm for detecting the position and orientation of threaded holes and a new method for tightening bolts. First, the elliptic arc fitting method and the three-point method are used to estimate the initial position and orientation of the threaded hole, and the force impact caused by switching from the free space to the constrained space during bolt tightening is solved. Second, by monitoring the deformation of passive compliance, the position information is introduced into the control process to better control the radial force between the bolt and the threaded hole in the tightening process. The constant force controller and orientation compliance controller are designed according to the adaptive control theory. A series of experiments are carried out. The results show that the proposed method can estimate the initial position and orientation of an M24 bolt with an average position error of 0.36 mm, 0.43 mm and 0.46 mm and an orientation error of 0.65°, 0.46° and 0.59°, and it can tighten the bolt with a success rate of 98.5%.

show abstract

“…Lopez [13] developed an intelligent strategy to accomplish robotic fixtureless assembly using a 2D vision system and a neural network-based learning system. Vision systems and force-torque sensor were used to correct and learn error patterns occurring during various automated processes such as panel forming by Ilangovan [14] and automated polishing by Kalt [15]. Jayaweera [16,17] described a combined metrological and mathematical method to automate aircraft fuselage skin panel assembly.…”

Section: Review Of the Existing Solutionsmentioning

confidence: 99%

Robotic assembly of threaded fasteners in a non-structured environment

Dharmara

Monfared

Ogun

et al. 2018

Int J Adv Manuf Technol

Self Cite

View full text Add to dashboard Cite

Over the past two decades, a major part of the manufacturing and assembly market has been driven by the increasing demand for customised products. This has created the need for smaller batch sizes, shorter production times, lower costs, and the flexibility to produce families of products-or to assemble different parts-with the same sets of equipment. Consequently, manufacturing companies have deployed various automation systems and production strategies to improve their resource efficiency and move towards right-first-time production. Threaded fastening operations are widely used in assembly and are typically time-consuming and costly. In high-volume production, fastening operations are commonly automated using jigs, fixtures, and semi-automated tools. However, in low-volume, high-value manufacturing, fastening operations are carried out manually by skilled workers. The existing approaches are found to be less flexible and robust for performing assembly in a less structured industrial environment. This motivated the development of a flexible solution, which does not require fixtures and is adaptable to variation in part locations and lighting conditions. As a part of this research, a novel 3D threaded hole detection and a fast bolt detection algorithms are proposed and reported in this article, which offer substantial enhancement to the accuracy, repeatability, and the speed of the processes in comparison with the existing methods. Hence, the proposed method is more suitable for industrial applications. The development of an automated bolt fastening demonstrator is also described in this article to test and validate the proposed identification algorithms on complex components located in 3D space.

show abstract

An automated solution for fixtureless sheet metal forming

Cited by 9 publications

References 15 publications

– The European Conference on Arts, Design and Education 2022 Official Conference Proceedings

– The European Conference on Arts, Design and Education 2022 Official Conference Proceedings

Research on Assembly Method of Threaded Fasteners Based on Visual and Force Information

Robotic assembly of threaded fasteners in a non-structured environment

Contact Info

Product

Resources

About