Effect of Shielded Metal Arc Welding (SMAW) parameters on mechanical properties of low-carbon, mild and stainless-steel welded joints: A review

Haider, Soumya; Quazi, M. M.; Bhatti, Jahanzeb; Bashir, M. Nasir; Ali, Imran

doi:10.20474/jater-5.5.1

Cited by 12 publications

(8 citation statements)

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“…Line-of-Sight Assessment Method Based on Two-Dimensional Classification 1) Classification method for assessing the driver's gaze area: Various studies have developed classification models for assessing gaze. [12] proposed a five-layer FCNNbased technology to classify the driver's field of view and assess the head position. They created datasets using different images of male and female drivers (including glasses-wearing drivers).…”

Section: Machine Learning Based Classification Methodsmentioning

confidence: 99%

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Research on Eye Pupil Location and Eye Tracking by Designing a Fully Conventional Neural Network (FCNN)

Raza¹,

Wang²,

Xue³

et al. 2020

Int. j. technol. eng. stud.

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Eye-tracking has become a significant tool in various areas, incorporating interaction of humans with a computer, computer vision, psychology, and medical diagnostics. Various protocols have been utilized to track the gaze. Although, some may not be accurate in the real world, while others may need explicit custom calibration, which can cause problems. Few of these techniques are associated with low image grades and varying lighting situations. The latest success and popularity of deep studying has dramatically increased the effectiveness of eye-tracking. The convenience of huge datasets additionally improves the function of deep learning-depend techniques. This technical paper introduces the latest deep studying-depend gaze assessment technology with a concentration on Fully Convolution Neural Networks (FCNN). This technical paper also gives an overview of other machine-based eye assessment methods. This research objective to enable the research population to generate significant and useful horizons that can improve the structure and growth of better, more effective deep learning depends on eye-tracking methods. This paper also gives information on different pertained models, network structures, and open origin datasets to help train deep learning models.

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Section: Machine Learning Based Classification Methodsmentioning

confidence: 99%

“…See the next section for more information on these two technologies. Few practical uses of gaze assessment include relation between eyes [10,11], driver's eye observation [3,12], on-screen keyboard [13,14] and Virtual Reality (VR) [15].…”

Section: Basic Conceptsmentioning

confidence: 99%

Research on Eye Pupil Location and Eye Tracking by Designing a Fully Conventional Neural Network (FCNN)

Raza¹,

Wang²,

Xue³

et al. 2020

Int. j. technol. eng. stud.

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“…Heat input also increases the HAZ width which affects microstructure and decreases the mechanical properties. The investigation reveals that with decrease in amperage the heat flow characteristics decrease with increase in microhardness and strength ( Haider et al., 2019 ). investigated the performance of various credible parameters on mechanical properties of joints of low carbon steel and steel 304.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of SMAW process parameters on similar and dissimilar metal welds: An overview

Baghel¹

2022

Heliyon

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“…Resistance welding is the oldest and most used process in manufacturing body-in-white (BIW) in the automotive industry [16]. Some examples of fusion welding are SMAW which stands for shield metal arc welding [17], GMAW [18] abbreviated for gas metal arc welding, GTAW which means gas tungsten arc welding, and submerged arc welding. Laser welding is a type of fusion welding which is favored by many industries in 1990 [19].…”

Section: Weldingmentioning

confidence: 99%

An Overview of Laser Welding of High Strength Steels for Automotive Application

Manoharan¹,

Quazi²,

Bashir³

et al. 2020

Int. j. technol. eng. stud.

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The current study investigates the effect of processing parameters Advance High Strength Stainless steel (AHSS) in terms of weld geometry by using the Pulse Wave (PW) mode of the fibre laser. The mechanical characteristics and microstructure are discussed and studied based on the literature. This study conducted an extensive literature review and highlighted various types of steel important for automotive applications. After that, laser welding of steel and the corresponding effect of parameters and their effect on weld geometry are discussed. It can be concluded that the variation of laser welding parameters can cause high thermal distortion and greatly affect the joint's mechanical performance. Hence, an optimum parameter value should be investigated to obtain a strong joint. This study also highlighted several avenues that researchers in future must explore.

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Effect of Shielded Metal Arc Welding (SMAW) parameters on mechanical properties of low-carbon, mild and stainless-steel welded joints: A review

Cited by 12 publications

References 0 publications

Research on Eye Pupil Location and Eye Tracking by Designing a Fully Conventional Neural Network (FCNN)

Research on Eye Pupil Location and Eye Tracking by Designing a Fully Conventional Neural Network (FCNN)

Effect of SMAW process parameters on similar and dissimilar metal welds: An overview

An Overview of Laser Welding of High Strength Steels for Automotive Application

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