![]() ![]() In fact, the depth of laser-drilled holes is affected by many factors, such as the energy of the laser pulse, the pulse frequency, properties of the material being worked, spatter, and gas pressure. However, controlling the depth of blind holes in laser drilling remains a challenge. ![]() Lasers can be applied in various ways, including cutting specific shapes on diamonds, material removal on CBN (cubic boron nitride), drilling YSZ (yttrium stabilized zirconia) materials, micro-drilling aluminum materials, drilling holes without creating cracks on surfaces, and sintering materials. These properties have led to the widespread adoption of laser processing in the manufacturing, automotive, and electronics industries. Laser processing has the characteristics of high speed and stable energy. In addition to providing specific data for engineers to use, this method could also be used to develop a set of reference parameters, greatly simplifying the laser drilling process. Being able to make these predictions successfully reduces time spent, manpower, and the number of trial-and-error shots required in the pre-processing phase. These experimental findings confirmed that the proposed method can be used to accurately select laser drilling parameters and predict results in advance. The pre-simulated drilling results were also compared with real-world observations after drilling the stainless steel. This study extends the field of research by applying artificial neural networks (ANNs) to predict the required parameters for drilling stainless steel with a certain depth and diameter of blind holes, and it also pre-simulates the drilling result of these predicted parameters before actual laser processing. Studies have already begun to examine the use of neural networks to improve the efficiency of this situation. However, determining such parameters should be possible using methodical calculations. Finding process parameters for laser-drilled blind holes often relies on an engineer’s experience and the trial-and-error method. ![]()
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