تشخیص عیوب ابعادی و ترک سوپاپ به کمک بینایی ماشین و آکوستیک امیشن

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان

عضو هیئت‌علمی، گروه مهندسی مکانیک، دانشگاه فنی و حرفه‌ای، تهران، ایران.

10.48301/kssa.2023.391572.2501

چکیده

سوپاپ یک کلمه فرانسوی (Soupape) به معنی دریچه می‌­باشد و نقش آن کنترل مخلوط هوا و سوخت ورودی به موتور و همچنین کنترل دودهای خروجی از آن می‌باشد. در این تحقیق تشخیص عیوب ابعادی و ترک سوپاپ به کمک بینایی ماشین و آکوستیک امیشن انجام شد. بعد از انتقال آفلاین تصاویر به نرم‌­افزار متلب، پردازش تصاویر در آن انجام شد و پارامترهای ابعادی سوپاپ مانند طول، قطر ساق، قطر بزرگ (نشیمنگاه) و کجی ساق سوپاپ در آن اندازه‌­گیری شد. این پارامترها با اندازه‌های واقعی مقایسه و درصد خطای اندازه­‌گیری برای این پارامترها به ترتیب 45/0­، 8/1 و 18/1 درصد برآورد گردید. برای کجی ساق سوپاپ با توجه به این‌که در حالت واقعی روشی جهت اندازه­‌گیری وجود ندارد درصد خطا برای این پارامتر محاسبه نشد. برای تشخیص ترک از 60 عدد سوپاپ نو مشابه، توسط دستگاه AE-MAP 1.0 نمودار آکوستیکی تهیه شد و نمودار آکوستیکی 30 سوپاپ نو و کارکرده با آن مقایسه شد. دقت سیستم در تشخیص ترک تقریباً 7/96 درصد برآورد گردید. 

کلیدواژه‌ها

عنوان مقاله [English]

Diagnosing Dimensional Defects and Valve Cracks using Machine Vision and Acoustic Emission

نویسندگان [English]

  • Bahman Rahmatinejad
  • Hossein Rahimi Asiabaraki
  • Farzin Azimpour Shishevan
Faculty Member, Department of Mechanical Engineering, Technical and Vocational University (TVU), Tehran, Iran
چکیده [English]

Valve originates from the French word, Soupape, meaning valve and its role is to control the mixture of air and fuel entering the engine and the exhaust fumes. In this research, dimensional defects and valve cracks were diagnosed with the help of machine vision and acoustic emission. After offline transfer of the images to MATLAB software, the images were processed and the dimensional parameters of the valve such as length, stem diameter, large diameter (seat) and valve stem curvature were measured. These parameters were compared with the actual sizes and the percentages of measurement error for these parameters which were estimated as 0.45%, 1.8% and 1.18%, respectively. Because there was no real way to measure the valve stem, the error percentage was not calculated for this parameter. To detect cracks from 60 similar new valves, an acoustic diagram prepared by AE-MAP 1.0 device and the acoustic diagram of 30 new and used valves were compared. The accuracy of the system in crack detection was estimated to be approximately 96.7%.

کلیدواژه‌ها [English]

  • Machine Vision
  • Dimension Measurement
  • Image Processing
  • Valves
  • Acoustics

مراجع

[1] Rahmatinejad, B., Abbasgholipour, M., & Mohammadi Alasti, B. (2021). Redesign of engine radiator based on number of optimal fans using a genetic algorithm. Karafan Quarterly Scientific Journal, 17(4), 99-118. https://doi.org/10.48301/kssa.2021.128398
[2] Pierce, D., Haynes, A., Hughes, J., Graves, R., Maziasz, P., Muralidharan, G., Shyam, A., Wang, B., England, R., & Daniel, C. (2019). High temperature materials for heavy duty diesel engines: Historical and future trends. Progress in Materials Science, 103, 109-179. https://doi.org/10.1016/j.pmatsci.2018.10.004
[3] Ding, Y., Liu, R., Yao, J., Zhang, Q., & Wang, L. (2017). Stellite alloy mixture hardfacing via laser cladding for control valve seat sealing surfaces. Surface and Coatings Technology, 329(3), 97-108. https://doi.org/10.1016/j.surfcoat.2017.09.018
[4] Wang, T., Chen, B., Zhang, Z., Li, H., & Zhang, M. (2022). Applications of machine vision in agricultural robot navigation: A review. Computers and Electronics in Agriculture, 198, 107085. https://doi.org/10.1016/j.compag.2022.107085
[5] He, W., Liu, T., Han, Y., Ming, W., Du, J., Liu, Y., Yang, Y., Wang, L., Jiang, Z., Wang, Y., Yuan, J., & Cao, C. (2022). A review: The detection of cancer cells in histopathology based on machine vision. Computers in Biology and Medicine, 146(9916), 105636. https://doi.org/10.1016/j.compbiomed.2022.105636
[6] Galán, J. J., Carrasco, R. A., & LaTorre, A. (2022). Military Applications of Machine Learning: A Bibliometric Perspective. Mathematics, 10(9), 1397. https://doi.org/10.3390/mat h10091397
[7] Pfeifer, T., & Wiegers, L. (2000). Reliable tool wear monitoring by optimized image and illumination control in machine vision. Measurement, 28(3), 209-218. https://doi.or g/10.1016/S0263-2241(00)00014-2
[8] Malamas, E. N., Petrakis, E. G. M., Zervakis, M., Petit, L., & Legat, J-D. (2003). A survey on industrial vision systems, applications and tools. Image and Vision Computing, 21(2), 171-188. https://doi.org/10.1016/S0262-8856(02)00152-X
[9] Nasiri, S., Rahimi Asiabaraki, H., & Razaghi, E. (2021). The Effect of Multi-size Valve on Improvement of Swirl Flow for Gas-based EF7 Engine. Karafan Quarterly Scientific Journal, 17(4), 119-134. https://doi.org/10.48301/kssa.2021.128399
[10] Vardar, N., & Ekerim, A. (2010). Investigation of Exhaust Valve Failure in Heavy â?? duty Diesel Engine. Gazi University Journal of Science, 23(4), 493-499. https://derg ipark.org.tr/en/pub/gujs/issue/7417/97238
[11] Dabrowski, Z., Górnicka, D., & Zawisza, M. (2018). Vibroacoustic diagnostics of defects of combustion engines valves. Journal of Machine Construction and Maintenance-Problemy Eksploatacji, 111(4), 67-76. https://yadda.icm.edu.pl/yadda/element/bw meta1.element.baztech-3060573c-e767-4e00-b2db-553913c7e77b
[12] Jafari, S. M., Mehdigholi, H., & Behzad, M. (2014). Valve Fault Diagnosis in Internal Combustion Engines Using Acoustic Emission and Artificial Neural Network. Shock and Vibration, 2014(2), 1-9. https://doi.org/10.1155/2014/823514
[13] Tabaszewski, M., & Szymański, G. M. (2020). Engine valve clearance diagnostics based on vibration signals and machine learning methods. Eksploatacja i Niezawodność, 22(2), 331-339. https://doi.org/10.17531/ein.2020.2.16
[14] Robinson, M., Oakley, J., & Cunningham, M. (1995). The accuracy of image analysis methods in spur gear metrology. Measurement Science and Technology, 6(7), 860-871. https: //doi.org/10.1088/0957-0233/6/7/002
[15] Jiang, B. C., & Jiang, S. J. (1998). Machine vision based inspection of oil seals. Journal of Manufacturing Systems, 17(3), 159-166. https://doi.org/10.1016/S0278-6125(98) 80058-7
[16] Luo, P. F., Pan, S. P., & Chu, T. C. (2004). Application of computer vision and laser interferometer to the inspection of line scale. Optics and Lasers in Engineering, 42(5), 563-584. https://doi.org/10.1016/j.optlaseng.2004.04.001
[17] Xue-wu, Z., Yan-qiong, D., Yan-yun, L., Ai-ye, S., & Rui-yu, L. (2011). A vision inspection system for the surface defects of strongly reflected metal based on multi-class SVM. Expert Systems with Applications, 38(5), 5930-5939. https://doi.org/10.1016/j.eswa. 2010.11.030
[18] Lu, W., & Chu, F. (2011). Shaft crack identification based on vibration and AE signals. Shock and Vibration, 18(1-2), 115-126. https://doi.org/10.3233/SAV-2010-0580
[19] Akoushideh, A., Tourani, A., Shahbahrami, A., & Masoumnezhad, M. (2021). Design and Implementation of Automatic License Plate Recognition System for Security Gates. Karafan Quarterly Scientific Journal, 18(3), 237-252. https://doi.org/10.48301/kssa .2021.130288
[20] Madhu, G., Kumar, V., & Robinson, P. (2016). Optimization of Process Parameter in Seat Hardfacing Process for an IC Engine Valves. International Journal of Engineering Research & Technology, 5(7), 207-211. https://doi.org/10.17577/IJERTV5IS070233
[21] Schwarz, J. J., & Rhodes, G. W. (1996). Resonance Inspection for Quality Control. In D. O. Thompson & D. E. Chimenti (Eds.), Review of Progress in Quantitative Nondestructive Evaluatio. Springer New York State. https://doi.org/10.1007/978-1-4613-0383-1_297
[22] Schlengermann, U., & Hansen, W. (1997, May 5-7). Das Resonanzverfahren—die Antwort auf neue industrielle Forderungen an die Qualitätssicherung. Deutsche Gesellschaft für Zerstörungsfreie Prüfung Conference, Dresden, Germany. https://www.ndt.net/a bstract/dresd97/schleng.htm
فصلنامه علمی کارافن
دوره 20، شماره 3
فنی و مهندسی
آذر 1402
صفحه 149-168

فایل ها

سابقه مقاله

  • تاریخ دریافت: 23 فروردین 1402
  • تاریخ بازنگری: 28 تیر 1402
  • تاریخ پذیرش: 08 شهریور 1402

هم رسانی

ارجاع به این مقاله

آمار