Results 1 to 10 of about 87,767 (354)

FPGA-Based Acceleration on Additive Manufacturing Defects Inspection [PDF]

open access: yesSensors, 2021
Additive manufacturing (AM) has gained increasing attention over the past years due to its fast prototype, easier modification, and possibility for complex internal texture devices when compared to traditional manufacture processing.
Yawen Luo, Yuhua Chen
doaj   +2 more sources

Measuring the Depth of Subsurface Defects in Additive Manufacturing Components by Laser-Generated Ultrasound

open access: yesMetals, 2022
A new method to measure the depth of subsurface defects in additive manufacturing components is proposed based on the velocity dispersion analysis of Lamb waves by the wavelet-transform of laser ultrasound.
Zhixiang Xue   +6 more
doaj   +2 more sources

Effects of Contaminations on Electric Arc Behavior and Occurrence of Defects in Wire Arc Additive Manufacturing of 316L-Si Stainless Steel [PDF]

open access: yesMetals
Additive Manufacturing is a manufacturing process that consists of obtaining a three-dimensional object from the deposition of material layer by layer, unlike conventional subtractive manufacturing methods.
Joyce Ingrid Venceslau de Souto   +6 more
doaj   +2 more sources

Research on Mechanisms and Controlling Methods of Macro Defects in TC4 Alloy Fabricated by Wire Additive Manufacturing

open access: yesMaterials, 2018
Wire feeding additive manufacturing (WFAM) has broad application prospects because of its advantages of low cost and high efficiency. However, with the mode of lateral wire feeding, including wire and laser additive manufacturing, gas tungsten arc ...
Lei Ji, Jiping Lu, Shuiyuan Tang
exaly   +2 more sources

A design for manufacturing methodology using defects knowledge for aerospace product manufacturing [PDF]

open access: yesProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2021
Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge
James Gao, Clive Simmonds
exaly   +2 more sources

Applying the Plan-Do-Check-Act (PDCA) Cycle to Reduce the Defects in the Manufacturing Industry. A Case Study

open access: yesApplied Sciences, 2018
Defects are considered as one of the wastes in manufacturing systems that negatively affect the delivery times, cost and quality of products leading to manufacturing companies facing a critical situation with the customers and to not comply with the IPC ...
Arturo Realyvásquez-Vargas   +3 more
doaj   +3 more sources

The effect of manufacturing defects and license plate on the energy efficiency of solar vehicles

open access: yesAcademia Green Energy
In recent times, research on the energy efficiency of solar vehicles has gained momentum. A significant component of the mentioned efficiency is the vehicle’s resistance to airflow.
Burak İpek   +3 more
doaj   +2 more sources

Evaluation of surface characteristics of new rotary nickel-titanium instruments: SEM-EDS analysis [PDF]

open access: yesStomatološki glasnik Srbije, 2021
Introduction Modern endodontic procedure implies the use of rotary Ni-Ti instruments during chemomechanical treatment of root canals. The aim of this study is to analyze the surfaces of new (unused) rotary endodontic instruments using the SEM-EDS method ...
Jovanović-Medojević Milica   +3 more
doaj   +1 more source

Investigation of Corrosion Effects on Collapse of Truss Structures

open access: yesBuildings, 2023
Corrosion damage is a serious problem in steel structures. The cross-sectional loss in the structural members due to corrosion reduces the load-carrying capacity of the members and the stability of their structures.
Zeynep Fırat Alemdar, Fatih Alemdar
doaj   +1 more source

RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults

open access: yesFrontiers in Neuroscience, 2023
To maximize the performance and energy efficiency of Spiking Neural Network (SNN) processing on resource-constrained embedded systems, specialized hardware accelerators/chips are employed.
Rachmad Vidya Wicaksana Putra   +2 more
doaj   +1 more source

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