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Particle Swarm Optimisation of Hole Quality Characteristics in Laser Trepan Drilling of Inconel 718

Kedari Lal Dhaker, Arun Kumar Pandey
2019 Defence Science Journal  
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

Avanish Kumar Dubey, Vinod Yadava
2008 International journal of machine tools & manufacture  
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

Sivarao ., Peter Brevern, N.S.M. El-Tayeb
2009 Journal of Computer Science  
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

Chau-Shing Wang, Yang-Hung Hsiao, Huan-Yu Chang, Yuan-Jen Chang
2022 Micromachines  
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]

Wolfgang Schulz, Toufik Al Khawli
2014 Lecture Notes in Production Engineering  
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

Satish Namdev, Department of Automobile Engineering, Manipal University Jaipiur, Jaipur-303007, India, Anand Pandey, Arun Kumar Pandey, Department of Mechanical Engineering, Manipal University Jaipiur, Jaipur-303007, India, Department of Mechanical Engineering, Bundelkhand Institute of Engineering & Technology, Jhansi-284128, India
2021 Maǧallaẗ al-abḥāṯ al-handasiyyaẗ  
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

You Wang, Hasan Tercan, Torsten Hermanns, Thomas Thiele, Tobias Meisen, Sabina Jeschke, Wolfgang Schulz, Wolfgang Schulz, Nonlinear Dynamics of Laser Manufacturing Processes Instruction and Research Department (NLD) of RWTH Aachen University, Steinbachstra�e 15, 52074, Aachen, Germany, Institute of Information Management in Mechanical Engineering (IMA) of RWTH Aachen University, Dennwartstra�e 27, 52068, Aachen, Germany, Institute of Information Management in Mechanical Engineering (IMA) of RWTH Aachen University, Dennwartstra�e 27, 52068, Aachen, Germany, Institute of Information Management in Mechanical Engineering (IMA) of RWTH Aachen University, Dennwartstra�e 27, 52068, Aachen, Germany (+4 others)
2018 Journal of ICT Standardization  
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

Jino Mathew, Rohit Kshirsagar, Suraiya Zabeen, Niall Smyth, Stratis Kanarachos, Kristina Langer, Michael E. Fitzpatrick
2021 Applied Sciences  
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

Yohei Kobayashi, Takashi Takahashi, Tomoharu Nakazato, Haruyuki Sakurai, Hiroharu Tamaru, Kenichi Ishikawa, Kazuyuki Sakaue, Shuntaro Tani
2021 IEEE Journal of Selected Topics in Quantum Electronics  
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

Ammar Alzaydi
2018 Optical Engineering: The Journal of SPIE  
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

Ch. Sanjay, Ch. Prithvi, Zude Zhou
2014 Cogent Engineering  
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

Isaac O. Olalere, Oludolapo A. Olanrewaju, O.P. Malik
2020 E3S Web of Conferences  
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

Catalin Teodoriu, Opeyemi Bello
2021 Energies  
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

Nitin Kumar Rathi, Nisha Rathi
2020 International Journal of Engineering Applied Sciences and Technology  
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

Benjamin Mills, James A. Grant‐Jacob
2021 IET Optoelectronics  
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
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