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<p>This study presents a new cost-effective method for finding the frictional torque of engine valve train in real production engine using acoustic emission analysis in combination with signal processing and real-time software monitoring. Acoustic emission signals were collected using a free-field microphone 4188 placed near the valve train, and the signals were amplified using signal conditioner CCLD 1704. The amplified signals were then processed using fast Fourier transform (FFT) analysis with National Instruments DAQ cards and LabVIEW software to extract features related to valve train behavior, i.e., engine sound, frictional torque etc. The results showed that acoustic emission analysis using acoustic technique can effectively detect the friction of valve train under various operating conditions. Four different types of engine oils of the same grades were tested on a four-stroke engine having 2 camshafts and 16 valves. The results showed that the acoustic emission from a valve train has a significant effect on the peak values of the acoustic emission signals. For validation, the results are compared with the frictional values of torque transducer using same engine oils and operating conditions. The study demonstrates the potential of acoustic emission analysis, FFT analysis in combination with real-time software and proves that it is a valuable tool for evaluating the performance of engine oils on engine valve train behavior, especially the friction torque.</p>

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Experimental Data Driven-Based Tribological Performance Evaluation of Direct Acting Engine Valve Train Using Potential Acoustic Emission (AE) Analysis and Real-Time Signal Processing

  • 期刊论文

  • 发表日期：

    2025年12月17日

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  • Atta Ul Mustafa,
  • Riaz Ahmad Mufti,
  • Muhammad Kashif,
  • Yasir Hamid,
  • Syed Maaz Hasan,
  • Ubaid Ur Rehman,
  • Hina Ali Khan

摘要

This study presents a new cost-effective method for finding the frictional torque of engine valve train in real production engine using acoustic emission analysis in combination with signal processing and real-time software monitoring. Acoustic emission signals were collected using a free-field microphone 4188 placed near the valve train, and the signals were amplified using signal conditioner CCLD 1704. The amplified signals were then processed using fast Fourier transform (FFT) analysis with National Instruments DAQ cards and LabVIEW software to extract features related to valve train behavior, i.e., engine sound, frictional torque etc. The results showed that acoustic emission analysis using acoustic technique can effectively detect the friction of valve train under various operating conditions. Four different types of engine oils of the same grades were tested on a four-stroke engine having 2 camshafts and 16 valves. The results showed that the acoustic emission from a valve train has a significant effect on the peak values of the acoustic emission signals. For validation, the results are compared with the frictional values of torque transducer using same engine oils and operating conditions. The study demonstrates the potential of acoustic emission analysis, FFT analysis in combination with real-time software and proves that it is a valuable tool for evaluating the performance of engine oils on engine valve train behavior, especially the friction torque.