Computer simulation of laser material removal: Measuring the depth of penetration in laser engraving
Notice bibliographique
Résumé
Laser engraving is becoming an appealing option for those applications where previously Electrical Discharge Machining (EDM) was the only choice because of its advantages with practicability, time and cost. Laser engraving technology removes material in a layer-by-layer fashion and the thickness of layers is usually in the range of a few microns and it is depending on several parameters such as the specimen material, laser power, Transverse Electromagnetic Mode (TEM), and beam traverse speed. The crucial first step in the setup process is to find out the depth of material which will be removed in each layer and is traditionally done off-line by trial-and-error technique. This is a lengthy process in which the operator must alter the laser parameters such as power and traverse speed gradually and use a microscope to examine the quality and measure the depth of removed material. For new materials, which may be very expensive, this process could take weeks and become very costly. The main purpose of this research project was to develop a proof of concept software that could simulate the geometry of engraved surface and estimate the depth and width of an engraved groove and its associated laser parameters. For simulation purposes, COMSOL was used to simulate the moving laser beam as a source of heat over physical domain made of different materials. Through interaction modeling of selected materials with the laser beam in TEM01 mode, the temperature distribution was determined. The temperature is the key parameter to determining the geometry of an engraved groove. As the laser heated the material and the temperature passed the vaporization point at high power intensity, the density of the material would switch to the density of air to form the groove. The simulation results were validated by several experiments. The simulation software can be improved to include more parameters and become a basis for a powerful laser engraving simulation package. The benefits of such a package would be big saving in setup time and material costs for customers who are testing laser engraving on the new and expensive materials. The software would also be an effective tool for the development and evaluation of new engraving techniques with an eye towards reducing wear-and-tear on the actual laser engraving machine and the elimination of a destructive testing procedure.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».