Artificial Intelligence-Based Hole Quality Prediction in Micro-Drilling Using Multiple Sensors
نویسندگان
چکیده
منابع مشابه
Micro-hole drilling and cutting using femtosecond fiber laser
Micro-hole drilling and cutting in ambient air are presented by using a femtosecond fiber laser. At first, the micro-hole drilling was investigated in both transparent (glasses) and nontransparent (metals and tissues) materials. The shape and morphology of the holes were characterized and evaluated with optical and scanning electron microscopy. Debris-free micro-holes with good roundness and no...
متن کاملMicro-hole drilling with femtosecond fiber laser
In this paper, micro-hole drilling in ambient air is presented using fs fiber laser (750 fs & 1030 nm). Micro holes were fabricated in both transparent (glasses) and non-transparent materials (metals and tissues). Hole shape and morphology was characterized and evaluated with optical microscope and scanning electron microscopy (SEM). Debris-free micro holes with good roundness and no thermal da...
متن کاملEnhancement of drilling safety and quality using online sensors and artificial neural networks.
Cutting force sensors and neural networks have been used for the occupational safety of the drilling process. The drill conditions have been online classified into 3 categories: safe, caution, and danger. This approach can change the drill just before its failure. The inputs to neural networks include drill size, feed rate, spindle speed, and features that were extracted from drilling force mea...
متن کاملMicro-Drilling of Polymer Tubular Ultramicroelectrode Arrays for Electrochemical Sensors
We present a reproducible fast prototyping procedure based on micro-drilling to produce homogeneous tubular ultramicroelectrode arrays made from poly(3,4-ethylenedioxythiophene) (PEDOT), a conductive polymer. Arrays of Ø 100 µm tubular electrodes each having a height of 0.37 ± 0.06 µm were reproducibly fabricated. The electrode dimensions were analyzed by SEM after deposition of silver dendrite...
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ژورنال
عنوان ژورنال: Sensors
سال: 2020
ISSN: 1424-8220
DOI: 10.3390/s20030885