A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Particle Swarm Optimisation of Hole Quality Characteristics in Laser Trepan Drilling of Inconel 718
2019
Defence Science Journal
Preserved Fulltext
The effect of each laser input parameter on hole quality characteristics are also discussed and demonstrated graphically. ...
Optimal value of laser input parameters for improved hole circularity and reduced hole taper have been suggested with the help of computational intelligence technique particle swarm optimisation. ...
Geometrical quality characteristics such as hole circularity and hole taper of laser trepan drilled hole are better than laser percussion drilled hole 6 . ...
doi:10.14429/dsj.69.12879
fatcat:hh3b6brqvbektmwnwwikuxdzii
Laser beam machining—A review
2008
International journal of machine tools & manufacture
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Among various type of lasers used for machining in industries, CO 2 and Nd:YAG lasers are most established. ...
In recent years, researchers have explored a number of ways to improve the LBM process performance by analysing the different factors that affect the quality characteristics. ...
SR/S3/MERC-0076/ 2006 entitled ''Experimental and Numerical Study of Nd-YAG Laser Beam Cutting of Advanced Engineering Materials''. ...
doi:10.1016/j.ijmachtools.2007.10.017
fatcat:tfqhlphhh5bmbk5v77r7n2a634
A New Approach of Adaptive Network-Based Fuzzy Inference System Modeling in Laser Processing-A Graphical User Interface (GUI) Based
2009
Journal of Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Problem statement: The power of Artificial Intelligent (AI) becomes more authoritative when the system is programmed to cater the need of complex applications. ...
The results found was very promising and proved that, even a person with shallow knowledge in both artificial intelligence and laser processing can actually train the experimental data sets loaded into ...
My special thanks go to Faculty of Manufacturing Engineering, UTeM. ...
doi:10.3844/jcssp.2009.704.710
fatcat:tsxlxcrwona6lkezhsjvmxdiam
Process Parameter Prediction and Modeling of Laser Percussion Drilling by Artificial Neural Networks
2022
Micromachines
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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. ...
LPPM The LPPM was used to predict the laser pulse energy E P and number of laser shots N P required for drilling a hole of a certain size. ...
doi:10.3390/mi13040529
pmid:35457834
pmcid:PMC9028133
fatcat:cbq7ujpuxzhpvgfsmcry5bjj6e
Meta-Modelling Techniques Towards Virtual Production Intelligence
[chapter]
2014
Lecture Notes in Production Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This work describes the advances in Meta-Modelling techniques applied to multidimensional and multi-criterial optimization in laser processing, e.g. sheet metal cutting, including the generation of fast ...
The advances of the Meta-Modelling technique are based on three main concepts: (i) classification methods that decomposes the space of process parameters into feasible and non-feasible regions facilitating ...
Acknowledgments The investigations are partly supported by the German Research Association (DFG) within the Cluster of Excellence "Integrative Production Technology for High-Wage Countries" at RWTH Aachen ...
doi:10.1007/978-3-319-12304-2_6
fatcat:lthecg6yw5d63oenqoe2mskdsi
Modeling of hole geometrical features in laser drilling of AISI316L sheet
2021
Maǧallaẗ al-abḥāṯ al-handasiyyaẗ
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
High thermal energy and converging-diverging property of laser beam affects the quality of laser drilled holes. ...
Micro-drilling of AISI316L is very challenging task. Unconventional machining process may be used for such type of operation. Laser beam drilling is a best for micro drilling. ...
EVALUATION OF DRILLED HOLE QUALITY CHARACTERISTICS
Hole diameter Hole dimeter has been measured from four different side. It has been measured along circumferentially of hole at interval of 45 0 . ...
doi:10.36909/jer.10517
fatcat:uhc2m73xrffrbirpehwfvz2svm
Sparse Data Enrichment by ContextOriented Model Reduction Techniquesin Manufacturing Industry with an ExampleLaser Drilling Process
2018
Journal of ICT Standardization
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this work, an advanced technique using reduced models to enrich sparse data ...
Nowadays, the internet of things and industry 4.0 from Germany are all focused on the application of data analytics and Artificial Intelligence to build the succeeding generation of manufacturing industry ...
Acknowledgement The investigation are partly supported by the German Research Association (DFG) within the Cluster of Excellence "Integrative Production Technology for High-Wage Countries" at RWTH Aachen ...
doi:10.13052/jicts2245-800x.632
fatcat:owq5ga7rzrgufh7yn5edpvpzwy
Machine Learning-Based Prediction and Optimisation System for Laser Shock Peening
2021
Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The prediction system was developed using residual stress data derived from incremental hole drilling. ...
We used artificial neural networks (ANNs) within a Bayesian framework to develop a robust prediction model validated using a comprehensive set of case studies. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11072888
fatcat:jhxb6mg3pzdcha3bph2m3c66ta
Fully Automated Data Acquisition for Laser Production Cyber-Physical System
2021
IEEE Journal of Selected Topics in Quantum Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Here, we focus on automated data acquisition systems coupled with artificial intelligence (AI) methods to overcome this technological gap. ...
We propose ways to realize cyber-physical systems specializing in specific facets of laser production by showing experimental Manuscript results from four kinds of automated data acquisition systems. ...
An example of measurement for laser-drilling parameter search using this system is shown in Fig. 7 . ...
doi:10.1109/jstqe.2021.3074516
fatcat:wymtpymvmjadfasp5x2zv44c34
Trajectory generation and optimization for five-axis on-the-fly laser drilling: a state-of-the-art review
2018
Optical Engineering: The Journal of SPIE
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The process of on-the-fly laser drilling is capable of achieving high throughputs and offers a highly productive approach for producing predefined groups of holes (clusters) to be laser drilled on freeform ...
This paper presents industrial state of the art and a literature review in the area of trajectory generation/planning and optimization for robots and in particular, machine tools, and laser drilling technology ...
Acknowledgments The author was appreciative of the support given by the University of Waterloo, Pratt and Whitney Canada, and ...
doi:10.1117/1.oe.57.12.120901
fatcat:dukng3ol2ratzgjnnd6lobgxti
Hybrid intelligence systems and artificial neural network (ANN) approach for modeling of surface roughness in drilling
2014
Cogent Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The surface finish of a machined part is one of the most important quality characteristics in manufacturing industries. ...
The primary objective of this research is the prediction of suitable parameters for surface roughness in drilling. ...
Ciurana and Arias (2009) have used neural network modeling for the influence of process parameters on feature geometry and surface quality in pulsed laser micromachining of hardened AISI H13 steel. ...
doi:10.1080/23311916.2014.943935
fatcat:d6b6xsuerrdenpwt775djxuyzy
Optimising Production through Intelligent Manufacturing
2020
E3S Web of Conferences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
of similar machines using ANN clustering tool for self-aware, self-predict and self-reconfiguration in a smart machining production line to detect a cutting tool chipping of less than 0.25mm size. ...
The method is proposed to optimise production by increasing productivity through intelligent decision and prediction for tool change, tool failure, maintenance, adjustment of operating parameters. ...
/rev for the final 2mm of hole dept, so as to reduce thrust force generated by worn drills that in turn reduces the hole surface quality. ...
doi:10.1051/e3sconf/202015203012
fatcat:7qlapa2pwje5tfl7er42wzfppu
An Outlook of Drilling Technologies and Innovations: Present Status and Future Trends
2021
Energies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
These include the selection of the best technologies and tools, procedural optimization, concrete problem-solving, accurate prediction, and rapid decision-making. ...
The paper provides a review of available technologies and developmental innovations based on both company-based and academic research-enabled drilling solutions over the past 5 years in the field of drilling ...
This novel technology uses artificial intelligence (AI) algorithms to enhance on-bottom drilling performance. ...
doi:10.3390/en14154499
fatcat:lezoftnmrjewdjkloi6i5vte3q
AN APPLICATION OF ANN FOR MODELING AND OPTIMISATION OF PROCESS PARAMETERS OF MANUFACTURING PROCESS: A REVIEW
2020
International Journal of Engineering Applied Sciences and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
With the perspective of demand of readily adaptable manufacturing technologies, Artificial Neural Networks is an influential tool. ...
This modern technology enables us to discover complex, non-linear patterns in data, and then on the basis of experimental data these patterns are converted into models. ...
For drilling process, This paper, Nakhjavani et al. (2006) is a study of laser percussion drilling optimization by combining the neural network method with the genetic algorithm. ...
doi:10.33564/ijeast.2020.v04i12.017
fatcat:d5e6zel4ozeevewkrgsczneqye
Lasers that learn: The interface of laser machining and machine learning
2021
IET Optoelectronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Laser machining is a highly flexible non-contact fabrication method used extensively across academia and industry. ...
A perspective at the intersection of laser machining and machine learning is presented, followed by a discussion of future milestones and challenges for this field. ...
Data supporting this study are openly available from the University of Southampton repository at https://doi.org/10.5258/ SOTON/D1710.
ORCID
Benjamin Mills https://orcid.org/0000-0002-1784-1012 ...
doi:10.1049/ote2.12039
fatcat:loc2t2l6end63k7sbpeubvys5u
« Previous
Showing results 1 — 15 out of 934 results