Analysis of welding problems of new energy batteries
Thermal Processes in Welding
The book is intended for all researches, welding engineers, mechanical design engineers, research engineers and postgraduate students who deal with problems such as microstructure modeling of welds, analysis of the mechanical properties of welded metals, weldability, residual stresses and distortions, optimization of welding and allied ...
Semantic segmentation supervised deep-learning algorithm for …
A two-branch semantic segmentation model including Spatial Branch (SB) and Context Branch (CB) is constructed for welding defect detection of new energy …
Semantic segmentation supervised deep-learning …
Request PDF | Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries | As the main component of the new energy battery, the safety vent ...
A review of laser welding for aluminium and copper dissimilar …
The laser power and welding speed determine laser heat input at a constant spot diameter, expressed in line energy. The effect of laser power on resistance properties, mechanical properties, IMC layer, and hardness of Al-Cu joints is shown in Fig. 8 [70]. The laser power determines the potential energy absorbed by the molten pool, …
Vibrational energy loss analysis in battery tab ultrasonic welding
Our analysis shows that substantial energy loss can occur during welding due to the flexural vibration of the Cu coupon, especially when the overhang (the upper part of the Cu coupon extended from the anvil) of the Cu coupon resonates at or close to the welding frequency (about 20 kHz), degrading the weld quality of battery tabs. This study ...
Study on Poor Welding of Anode Tab and Battery Case of
In this paper, using TRIZ theory, through the causal analysis, technical conflict, material-field, physical conflicts and other tools, the 21700 battery anode resistance welding problem is ...
Batteries | Free Full-Text | Safety Analysis of Lithium-Ion …
Cylindrical lithium-ion batteries are widely used in consumer electronics, electric vehicles, and energy storage applications. However, safety risks due to thermal runaway-induced fire and explosions have prompted the need for safety analysis methodologies. Though cylindrical batteries often incorporate safety devices, the safety …
Progress in Thermomechanical Analysis of Friction …
Friction stir welding (FSW) is a solid-state joining process that requires no melting of the materials during the process. As shown in Figure 1, a non-consumable rotating tool with a specially …
Welding defects on new energy batteries based on 2D pre …
Battery surface reconstruction can inspect the quality of the weld instead of relying on human inspection. This paper proposes a defect detection method in …
Semantic segmentation supervised deep-learning algorithm …
As the main component of the new energy battery, the safety vent usually is welded on the battery plate, which can prevent unpredictable explosion accidents caused by the …
Semantic segmentation supervised deep-learning …
We built an experimental dataset of safety vent welding defects with a total of 7263 original images, which were collected from a battery manufacturing production line.
Deep Network-Assisted Quality Inspection of Laser Welding on Power Battery
A power battery is one of the key components of new energy vehicles, and its quality determines the reliability and safety of the vehicle to a large extent. Laser welding is widely used in power battery manufacturing due to its advantages of high energy density, high precision, and precise control over the heat input [ 1, 2 ].
Quality Analysis of Welds Made with an Automatic Battery Pack …
Resistance stud welding is a fast process with high energy density and low heat input that minimize the amount of residual stress and is suitably used for welding and joining of sheet metals that ...
Laser welding challenges of Aluminum alloys: A review
High quality weld joints without solidification crack that met AWS D17.1 requirements were obtained at (I)high pulse energy (25 J)and high average peak power (4.2 kW)and (II)low pulse energy (17.6 ...
Prediction and optimization method for welding quality of …
The influencing factors of welding quality in the thermal welding process are mainly reflected in the welding heat source type and its power density (W), the effective thermal efficiency (P ...
Visualization of segmentation results | Download Scientific Diagram
Download scientific diagram | Visualization of segmentation results from publication: Semantic segmentation supervised deep-learning algorithm for welding-defect detection of new energy batteries ...
Semantic segmentation supervised deep-learning algorithm for welding ...
The experiment results indicate that the welding-defect detection method based on semantic segmentation algorithm achieves 86.704% and the applicability of the proposed framework in industrial applications, which supports the effectiveness of the deep learning model in segmenting defects. As the main component of the new energy …
Current and future lithium-ion battery manufacturing
Besides the cell manufacturing, "macro"-level manufacturing from cell to battery system could affect the final energy density and the total cost, especially for the EV battery system. The energy density of the EV battery system increased from less than 100 to ∼200 Wh/kg during the past decade (Löbberding et al., 2020). However, the ...
Deep Network-Assisted Quality Inspection of Laser Welding on …
The automatic detection of laser welding quality in power batteries is crucial for ensuring the safety performance of new energy vehicles. This paper …
Semantic segmentation supervised deep-learning algorithm for welding ...
AbstractAs the main component of the new energy battery, the safety vent usually is welded on the battery plate, which can prevent unpredictable explosion accidents caused by the increasing internal pressure of the battery. The welding quality of safety ...
Optimization Analysis of Power Battery Pack Box Structure for New ...
With the intensification of national policy support and the enhancement of new energy vehicle technology, new energy vehicles have been widely used and promoted. In 2021, the sales of new energy vehicles in China completed 3.521 million units, ranking first in the world for seven consecutive years.
Application of Laser Welding in Electric Vehicle Battery ...
Laser welding is a welding method with high energy density and non-contact and accurate heat input control, which can provide reliable weldability for the …
New energy vehicle battery recycling strategy considering carbon ...
The negative impact of used batteries of new energy vehicles on the environment has attracted global attention, and how to effectively deal with used batteries of new energy vehicles has become a ...
How to Solve Common Ultrasonic Welding Problems
How the Ultrasonic Welding Process Works. Before examining common causes of ultrasonic welding problems, let''s take a moment to understand the welding cycle itself. In ultrasonic welding, high-frequency vibrations are applied the surfaces of two parts by a vibrating tool, commonly called a "horn" or "sonotrode." Welding occurs as the ...
Deep learning-based welding image recognition: A
1. Introduction. Machine vision plays a critical role in assuring weld quality through seam tracking [1] and online monitoring [2] and NDT [3] post welding. Its core, WIR, has gone through two main stages, per the use of feature engineering or DL models [4].With rapid developments of third wave AI innovation and high-performance computing …
Vibrational energy loss analysis in battery tab ultrasonic welding
In battery tab''s ultrasonic welding the vibrational energy loss analysis was proposed by Bongsu et al. 8 In the welding process, battery tabs (thin plates) under periodic loads can experience ...
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