Classification of operation cases in electric arc welding wachine by using deep convolutional neural networks

Noğay, Hidir; Akıncı, Tahir Çetin

doi:10.1007/s00521-020-05436-y

Cited by 10 publications

(6 citation statements)

References 36 publications

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“…Pada proses las titik temperatur pada titik pusat atau inti bisa mencapai lebih dari 1500 o C. Dengan demikian untuk melindungi elektroda dari kerusakan yang cepat dan untuk tujuan ketahanan umur pakai diperlukan suatu sistim pendingin [6]. Sebagai ilustrasi proses pendinginan begitu mempengaruhi ketahanan eltip dapat ditunjukkan tabel perubahan koefisien temperatur (α) beberapa bahan metal sebagai berikut [7] : Ada 2 jenis sistim pendingin yang umum dipakai di Industri yaitu cooling water tersentralisasi dan sistim pendinginan chiller [8].…”

Section: Gambar 1 Langkah Siklus Pengelasan Titik Dalam Skema Diagramunclassified

Analisis Karakteristik Material Elektroda Tip Untuk Proses Las Titik Pada Bodi Mobil Untuk Rangka Memperpanjang Umur Pakai

Effendi,

Hendra

2022

dinamis

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One of the important components in the process of spot welding or spot welding is electrode tip or better known as”eltip". The quality of eltip material will greatly determine the welding results, the level of reliability and service life of eltip. The purpose of this study was to analyze the characteristics of eltip and find a suitable formulation of locally produced eltip to replace imported eltip. The chemical composition of the eltip material that is currently used is unknown and is a secret for import manufacturers. Local production Eltip used spot welding process has a disadvantage in service life. For this reason, chemical composition tests, hardness tests, and metallographic tests were carried out on the tip electrode. In the results of spot welding metallographic test and tark test, the results showed a minimum nugget diameter of 3 mm for 1 mm thick welding plate, can be met between 3.22 mm to 3.52 mm by local eltip. The service life of local eltip as many as 2000 spots is approaching the service life of imported eltip as many as 2400 spots. A slight improvement in Pb levels as an anti-wear will increase the service life of this local eltip in subsequent use. With reference to the quality standards of the Weld, such as the dimensions of the nugget, and visual check welding surface defects allowed by the car manufacturer, the results of this study are expected to be a reference for the use of eltip in the welding process elsewhere.

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Section: Gambar 1 Langkah Siklus Pengelasan Titik Dalam Skema Diagramunclassified

Analisis Karakteristik Material Elektroda Tip Untuk Proses Las Titik Pada Bodi Mobil Untuk Rangka Memperpanjang Umur Pakai

Effendi,

Hendra

2022

dinamis

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“…( 6), K indicates the filter, A indicates the input matrix and B indicates the filtered output matrix. The output matrix B obtained after filtering is obtained in the following way [30,31]. After convolution, the image size becomes smaller than the original size.…”

Section: Convolution Layermentioning

confidence: 99%

“…Another design step is to determine the s value, which is the shifting step of the filter. After the p and s values are determined, the output matrix B can be calculated as follows after the convolution and pooling processes [30,31].…”

Section: Convolution Layermentioning

confidence: 99%

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Detection of invisible cracks in ceramic materials using by pre-trained deep convolutional neural network

Noğay

Akıncı

Yılmaz

2021

Neural Comput & Applic

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Ceramic materials are an indispensable part of our lives. Today, ceramic materials are mainly used in construction and kitchenware production. The fact that some deformations cannot be seen with the naked eye in the ceramic industry leads to a loss of time in the detection of deformations in the products. Delays that may occur in the elimination of deformations and in the planning of the production process cause the products with deformation to be excessive, which adversely affects the quality. In this study, a deep learning model based on acoustic noise data and transfer learning techniques was designed to detect cracks in ceramic plates. In order to create a data set, noise curves were obtained by applying the same magnitude impact to the ceramic experiment plates by impact pendulum. For experimental application, ceramic plates with three invisible cracks and one undamaged ceramic plate were used. The deep learning model was trained and tested for crack detection in ceramic plates by the data set obtained from the noise graphs. As a result, 99.50% accuracy was achieved with the deep learning model based on acoustic noise.

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“…For example, the grain size in the grain-growth region is often larger than that in the recrystallisation region [2]. Despite significant research using modelling [3,4], experiments [5] and data-driven intelligent learning [6], there remains a further requirement to improve the quality of weldments. A more comprehensive scientific understanding is required toward minimising the detrimental effect of the HAZ in order to meet the progressive needs in the engineering practice.…”

Section: Introductionmentioning

confidence: 99%

Critical Assessment of the Electric Effect in Electric Arc Welding

Qin

2021

Metals

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This work provides a critical assessment of electric effects on the microstructure evolution at the heat-affected zone in electric arc welding. Electric effects are the interactions between electromagnetic fields and materials’ microstructures. They differ from the arc effect and the Joule heating effect by providing an alternative contribution to nucleation, grain growth, recrystallisation and tempering. The influence of the electric effect on grain size, defects, anisotropic properties, precipitates and residual stress has been examined kinetically and thermodynamically. The use of adaptable electric current densities, pulse durations, pulse frequencies and electrode movements is suggested to achieve desirable microstructures and mechanical properties for the weldments.

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Classification of operation cases in electric arc welding wachine by using deep convolutional neural networks

Cited by 10 publications

References 36 publications

Analisis Karakteristik Material Elektroda Tip Untuk Proses Las Titik Pada Bodi Mobil Untuk Rangka Memperpanjang Umur Pakai

Analisis Karakteristik Material Elektroda Tip Untuk Proses Las Titik Pada Bodi Mobil Untuk Rangka Memperpanjang Umur Pakai

Detection of invisible cracks in ceramic materials using by pre-trained deep convolutional neural network

Critical Assessment of the Electric Effect in Electric Arc Welding

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