Camera-Based In-Process Quality Measurement of Hairpin Welding

The technology of hairpin welding, which is frequently used in the automotive industry, entails high-quality requirements in the welding process. It can be difficult to trace the defect back to the affected weld if a non-functioning stator is detected during the final inspection. Often, a visual assessment of a cooled weld seam does not provide any information about its strength. However, based on the behavior during welding, especially about spattering, conclusions can be made about the quality of the weld. In addition, spatter on the component can have serious consequences. In this paper, we present in-process monitoring of laser-based hairpin welding. Using an in-process image analyzed by a neural network, we present a spatter detection method that allows conclusions to be drawn about the quality of the weld. In this way, faults caused by spattering can be detected at an early stage and the affected components sorted out. The implementation is based on a small data set and under consideration of a fast process time on hardware with limited computing power. With a network architecture that uses dilated convolutions, we obtain a large receptive field and can therefore consider feature interrelation in the image. As a result, we obtain a pixel-wise classifier, which allows us to infer the spatter areas directly on the production lines.

Gravity process foundry simulation

In this work, they going to use a foundry simulation software to compare the virtual vs real results and try to reduce the time of the real process in the foundry area. In the real process they work with the re-engineering process of the pistons, first they take the original element and take the physical properties (length, width, thicknesses, etc.), after make a cast design and is assigned some parameters for the process, planning the process to make a test, after the casting process it goes to the machining process and finally the final inspection says if all the process during the tests is correct, if not, we need to take others parameters or casting design. With this project is going to be possible to save time in the foundry area and make a virtual process to see the result and change all the necessary things to have a perfect process.

Sistem Pemantauan Ban Hasil Inspeksi di Area Karantina OEM Berbasis VB.Net 2013

Karantina Original Equipment Manufacture (OEM) merupakan sebuah bagian yang masih dalam satu lingkup dengan departemen Final Inspection, dimana bagian tersebut bertugas melakukan second inspection terhadap ban yang dikategorikan sebagai ban OE hasil dari pengecekan Dynamic Balance (DB) dan Uniformity (UF). Kesulitan yang dihadapi oleh inspektor di area karantina OEM yakni sulitnya melakukan monitoring tyre secara realtime. Kemudian kesulitan yang juga dihadapi oleh admin di departemen Final Inspection yakni sulitnya memproses data hasil check yang akan di proses menjadi report. Maka pada penelitian ini membuat sebuah sistem monitoring tyre berbasis VB.Net 2013 yang memepermudah inspekor dalam melakukan monitoring tyre dan mempermudah admin dalam memproses report hasil check. Untuk melakukan monitoring tyre inspektor dapat login di aplikasi monitoring tyre. Kemudian admin juga dapat memproses report hasil check hanya dengan 5 langkah yang menghabiskan waktu 5 hingga 7 menit saja. Kata kunci: PHP, Vb.Net, Original Equipment Manufacture

Sistem Kendali Lampu Defect Dan Reject Berbasis Web Server Menggunakan Raspberrry Pi 3 Model B

This research covers the design and construction of a Web-based Defect & Reject Light Control Intelligent System with Raspberry Pi with the aim of detecting the quality conditions of manufactured goods at the final inspection section of PT. Suryaraya Rubberindo Industries. This system requires several components such as a Raspberry Pi 3 Microcontroller, Relays, mini filament LED lamps and several other supporting components. The design and construction of a Web-Based Defect & Reject Light Control Intelligent System with the Raspberry Pi comes from experimental results, besides that it is also supported by several literary documents found in journals and reference books. This Intelligent Web-Based Defect & Reject Light Control System with the Raspberry Pi uses a website design as an input to turn off or turn on a lamp. Two mini filament lamps are used as output components that are made like Signal lamps. Based on the results of the experiments conducted, the Web-Based Defect & Reject Light Control Intelligent System with the Raspberry Pi can work quite well. When this system detects the condition of the production goods in a state that does not meet the specified company standards but has a low level of seriousness (defect), the system will give a signal for a yellow light with a value of 1, whereas if the level of seriousness is high (reject) then the control system will give a signal to turn on the red light the value of the number 1 stored in the database

A Study on Indicators for Safety Inspections at Domestic Construction Sites Based on the Type of Industrial Accident Occurrence

In this study, we derived a construction site safety inspection list by identifying the problems of the existing safety inspection indicators. This list can prevent accidents and improve the safety of domestic construction sites. The research was conducted in the order of related laws and previous study research, meta-analysis of existing inspection indicators, derivation of safety level inspection checklist using the type of accident occurrence, and verification of the suitability of the evaluation checklist using research from a group of experts. As a key index, the construction site safety inspection index was derived by reflecting the risk factors for each type of industrial accident occurrence at the construction site. The final inspection checklist is intended to contribute to the establishment of safety management at construction sites and reduction of accident rates by deriving the actual status and problems of safety management implementation at construction sites, and presenting improvement plans.

ON THE EXPERIENCE OF COMPUTED X-RAY TOMOGRAPHY OF REINFORCED THREE-STRINGER PANELS MADE OF POLYMER COMPOSITE MATERIALS

Experimental studies of the possibility of the MCT method for NC three-stringer panels made of PCM by the method of autoclave molding have been carried out. Based on the results of the experimental studies, it was shown that the MCT method makes it possible with a high reliability to identify defects in composite structures at the stage of final inspection (immediately after production), which is especially important for highly loaded and critical structures made of carbon composite materials based on polymer matrices of various types. On the example of testing a three-stringer (reinforced) panel, it is shown that the presented structure as a whole does not have pronounced macrodefects, however, an accumulation of micro-layers is observed in the zone of transition of layers from the sheathing plane to the stringer, which indicates a slight decrease in the molding pressure in this zone. In the studies carried out, these microdefects are not critical, while the results of the tomogram can be used to slightly refine the shape of the tooling in the zone of transition of layers from the skin to the stringer to provide the required molding pressure. Thus, it has been shown that the SRT method is an effective tool for assessing the structure of reinforced composite panels, taking into account different degrees of damage. The high measurement accuracy and resolution of the MCT method allow realizing high reliability and information content of control and ensuring high reliability of PCM structures due to the following factors: • Structures with defects exceeding the maximum permissible ones are not allowed into operation by the technical control department (QCD); • Structures with defects close to the maximum permissible are taken out of service until their properties are restored; • Positioning of defects reduces the labor intensity of repair.

Sistem Kendali Lampu Defect Dan Reject Berbasis Web Server Menggunakan Raspberrry Pi 3 Model B

Abstract— This research covers the design and construction of a Web-based Defect & Reject Light Control Intelligent System with Raspberry Pi with the aim of detecting the quality conditions of manufactured goods at the final inspection section of PT. Suryaraya Rubberindo Industries. This system requires several components such as a Raspberry Pi 3 Microcontroller, Relays, mini filament LED lamps and several other supporting components. The design and construction of a Web-Based Defect & Reject Light Control Intelligent System with the Raspberry Pi comes from experimental results, besides that it is also supported by several literary documents found in journals and reference books. This Intelligent Web-Based Defect & Reject Light Control System with the Raspberry Pi uses a website design as an input to turn off or turn on a lamp. Two mini filament lamps are used as output components that are made like Signal lamps. Based on the results of the experiments conducted, the Web-Based Defect & Reject Light Control Intelligent System with the Raspberry Pi can work quite well. When this system detects the condition of the production goods in a state that does not meet the specified company standards but has a low level of seriousness (defect), the system will give a signal for a yellow light with a value of 1, whereas if the level of seriousness is high (reject) then the control system will give a signal to turn on the red light the value of the number 1 stored in the database Intisari— Penelitian ini meliputi racang dan bangun Sistem Cerdas Kendali Lampu Defect & Reject Berbasis Web denganRaspberry Pi dengan tujuan untuk mendeteksi kondisi kualitas barang produksi pada bagian final Inspection di PT. SuryarayaRubberindo Industries. Sistem ini memerlukan beberapa komponen seperti Mikrokontroller Raspberry Pi 3, Relay,Lampu berjenis LED filamen mini dan beberapa komponen pendukung lainnya. Rancang Rangun Sistem Cerdas KendaliLampu Defect & Reject Berbasis Web dengan Raspberry Pi tersebut berasal dari hasil percobaan, selain itu didukung pulaoleh beberapa literatur dokumen yang terdapat pada jurnal dan buku referensi. Sistem Cerdas Kendali Lampu Defect & RejectBerbasis Web dengan Raspberry Pi ini menggunakan rancangan website sebagai input untuk mematikan atau menyalakan sebuah lampu. Dua buah lampu filamen mini digunakan sebagai komponen output yang dibuat seperti lampu Signal.Berdasarkan hasil percobaan yang dilakukan, Sistem Cerdas ini dapat bekerja dengan cukup baik. Ketika sistem ini mendeteksikondisi barang produksi dalam keadaan tidak memenuhi standard perusahaan yang telah ditentukan akan tetapi memilikitingkat keseriusan rendah (defect) maka sistem akan memberikan sinyal untuk lampu kuning bernilai angka 1 sedangkan jika tingkat keseriusan tinggi (reject) maka sistem kendali akan memberikan sinyal untuk menyalakan lampu merah bernilai angka 1 yang tersimpan pada database.

Ways of reducing the timeof the final inspection carried out by the state construction supervision authority on the example of foreign approaches

The article presents the results of the comparative analysis which has been carried out of domestic and foreign systems of state supervision in construction. Distinctive features in the principles of the state supervision authority`s work are revealed. The purpose of the study is to minimize bureaucratic procedures at the stage of the final inspection carried out by the state construction supervision. Recommendations for optimizing the composition of the acceptance documentation are given. It is proposed to amend Article 39 of Federal Law No. 384-FZ of December 30, 2009, regarding the transfer of responsibility for confirming compliance of the completed construction facility with technical regulations and the project to the technical customer, with the issuance of certificates of compliance.