Optimization Of Operating Parameters Of Laser Engraving For Surface Roughness
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| Author | : Debashish Gogoi |
| Publisher | : GRIN Verlag |
| Total Pages | : 63 |
| Release | : 2021-10-27 |
| Genre | : Technology & Engineering |
| ISBN | : 3346524051 |
Master's Thesis from the year 2020 in the subject Engineering - Mechanical Engineering, grade: 7.69, , language: English, abstract: In today's production and manufacturing industries, the laser cutting method is the broadly used nonconventional, advanced, non-contact type machining process. It has various advantages in using to cut or engrave almost all kinds of materials. In this study the effect of laser engraving parameters on filter paper were quantified using a mathematical model. The main objective of this study was to assess the individual and interaction effect of the input parameters on the surface quality of engraved portion under the experimental conditions that were based on the experimental design. From the experiment it was found that the laser power has the significant effect on the surface roughness. The interaction effect of the speed and number of dots per inch created by nozzle of the laser engraving machine and the quadratic effect of speed also have a significant effect on the output surface quality. It is seen that the roughness increases with the increase in the laser power. Also, it was found that the combination of low laser power and mid engraving speed can results in the good surface quality. Similarly, combination of low speed and DPI results in the good surface quality. Accordingly, interaction effect of low power and high DPI results the better surface quality. The best optimal setting was at 8W of laser power, 205.895 mm/sec of engraving speed and 299.9 numbers of dots per inch, the roughness was found as 5.5693 μm with the percentage error of 0.53%.
| Author | : R. Venkata Rao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 388 |
| Release | : 2010-12-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0857290150 |
Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examples of various manufacturing processes to demonstrate advanced modeling and optimization techniques. Both basic and advanced concepts are presented for various manufacturing processes, mathematical models, traditional and non-traditional optimization techniques, and real case studies. The results of the application of the proposed methods are also covered and the book highlights the most useful modeling and optimization strategies for achieving best process performance. In addition to covering the advanced modeling, optimization and environmental aspects of machining processes, Advanced Modeling and Optimization of Manufacturing Processes also covers the latest technological advances, including rapid prototyping and tooling, micromachining, and nano-finishing. Advanced Modeling and Optimization of Manufacturing Processes is written for designers and manufacturing engineers who are responsible for the technical aspects of product realization, as it presents new models and optimization techniques to make their work easier, more efficient, and more effective. It is also a useful text for practitioners, researchers, and advanced students in mechanical, industrial, and manufacturing engineering.
| Author | : Dilbagh Panchal |
| Publisher | : CRC Press |
| Total Pages | : 458 |
| Release | : 2023-04-03 |
| Genre | : Technology & Engineering |
| ISBN | : 1000608964 |
This new volume offers a variety of perspectives from investigators, industry professionals, stakeholders, and economic strategists that look at new ways of solving optimization problems related to different industrial sectors. Case studies relay how optimization methods deal with both real operative conditions in process industries and in service industries. The volume also explores emerging research areas toward the implementation of optimization algorithms for enhancement of system performance as well as system effectiveness. The book explores the role of optimization methods in engineering applications in industrial and mechanical engineering as well as in the fields of healthcare/medicine, food production, oil, textiles, energy, and agriculture. The volume offers new ways of solving optimization problems related to different industrial sectors, incorporating mathematical formulation for particular design problems and thus aiding the selection of the optimal design among many alternatives. It shows optimization methods that deal with actual operative conditions both in process and in service industries. A unique advantage of this volume is its wide range of topics in different engineering domains using novel mathematical modeling-based optimization methods for solving the real-life problems. The array of examples and case studies of the effective use of optimization in diverse areas of engineering include healthcare analysis and monitoring (fetal phonocardiography), medical device design (3D printing design for protheses), agriculture/farming (monitoring climate conditions), environmental science (waste management), automotive and aeronautic design, industrial manufacturing, solar energy, and more. Key features: Presents case studies on optimization problems related to industry Discusses case studies on operations management practices optimization Provides an overview of design optimization Highlights case studies on process optimization Assesses different techniques for handling engineering problems This valuable book will be useful for researchers, scientists, faculty, and students involved or interested in the field of optimization engineering in industrial design.
| Author | : Kalita, Kanak |
| Publisher | : IGI Global |
| Total Pages | : 298 |
| Release | : 2020-12-25 |
| Genre | : Technology & Engineering |
| ISBN | : 1799872084 |
All machining process are dependent on a number of inherent process parameters. It is of the utmost importance to find suitable combinations to all the process parameters so that the desired output response is optimized. While doing so may be nearly impossible or too expensive by carrying out experiments at all possible combinations, it may be done quickly and efficiently by using computational intelligence techniques. Due to the versatile nature of computational intelligence techniques, they can be used at different phases of the machining process design and optimization process. While powerful machine-learning methods like gene expression programming (GEP), artificial neural network (ANN), support vector regression (SVM), and more can be used at an early phase of the design and optimization process to act as predictive models for the actual experiments, other metaheuristics-based methods like cuckoo search, ant colony optimization, particle swarm optimization, and others can be used to optimize these predictive models to find the optimal process parameter combination. These machining and optimization processes are the future of manufacturing. Data-Driven Optimization of Manufacturing Processes contains the latest research on the application of state-of-the-art computational intelligence techniques from both predictive modeling and optimization viewpoint in both soft computing approaches and machining processes. The chapters provide solutions applicable to machining or manufacturing process problems and for optimizing the problems involved in other areas of mechanical, civil, and electrical engineering, making it a valuable reference tool. This book is addressed to engineers, scientists, practitioners, stakeholders, researchers, academicians, and students interested in the potential of recently developed powerful computational intelligence techniques towards improving the performance of machining processes.
| Author | : Shanben Chen |
| Publisher | : Springer Nature |
| Total Pages | : 170 |
| Release | : 2020-01-11 |
| Genre | : Technology & Engineering |
| ISBN | : 9811381925 |
The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2019 International Workshop on Intelligentized Welding Manufacturing (IWIWM’2019) in USA. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
| Author | : Tatjana V. Šibalija |
| Publisher | : Springer |
| Total Pages | : 309 |
| Release | : 2015-07-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3319192558 |
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.
| Author | : Bekir Sami Yilbas |
| Publisher | : Elsevier |
| Total Pages | : 332 |
| Release | : 2017-11-13 |
| Genre | : Technology & Engineering |
| ISBN | : 0128129832 |
The Laser Cutting Process: Analysis and Applications presents a comprehensive understanding of the laser cutting process and its practical applications. The book includes modeling, such as thermal and stress analysis, along with lamp parameter analysis for kerf width predictions and their practical applications, such as laser cutting of metallic and non-metallic materials and assessment of quality. The book provides analytical considerations for laser cutting, the importance of the affecting parameters, stress levels formed in the cutting section, cutting efficiency and cut morphology and metallurgy. It is designed to be used by individuals working in laser machining and high energy processing. - Fills the gap between a fundamental understanding of the laser cutting process and the shortcomings of the industrial (practical) applications - Discusses new developments in the laser cutting process of difficult to cut materials - Includes thermal analysis for various metallic and non-metallic materials - Provides information on Quality Assessment Methods
| Author | : Mohamad H. Hassoun |
| Publisher | : MIT Press |
| Total Pages | : 546 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : 9780262082396 |
A systematic account of artificial neural network paradigms that identifies fundamental concepts and major methodologies. Important results are integrated into the text in order to explain a wide range of existing empirical observations and commonly used heuristics.
| Author | : Sandip Kunar |
| Publisher | : John Wiley & Sons |
| Total Pages | : 500 |
| Release | : 2024-06-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1394213573 |
LASER-ASSISTED MACHINING This unique book develops exhaustive engineering perceptions of different laser-assisted techniques, reviews the engineering context of different laser fabrication techniques, and describes the application of laser-assisted fabrication techniques. Lasers are essential in the area of material processing because they can produce coherent beams with little divergence. The fabrication process known as surface cladding includes joining (soldering, welding), material removal (laser-aided drilling, cutting, etc.), deformation (extrusion, bending), and material addition. Some remarkable advantages of laser-assisted material development include faster processing rates and preservation of essential alloying components. However, the lack of widespread understanding of various material phenomena and how laser parameters affect them prevents the technology from being widely accepted on an industrial scale. Among the subjects Laser-Assisted Machining covers include high-powered lasers in material processing applications, laser-based joining of metallic and non-metallic materials, direct laser cladding, laser surface processing, laser micro and nano processing, emerging laser materials processing techniques, solid-state lasers, laser cutting, drilling and piercing, laser welding, laser bending or forming, laser cleaning, laser automation and in-process sensing, femtosecond laser micromachining, laser-assisted micro-milling/grinding, laser-assisted jet electrochemical micro-machining, laser-assisted water jet micro-machining, hybrid laser-electrochemical micromachining process, quill and nonreciprocal ultrafast laser writing, laser surface engineering, ultrashort pulsed laser surface texturing, laser interference patterning systems, laser interference lithography, laser-guided discharge texturing. Audience The book will be used by researchers in the fields of manufacturing technology and materials science as well as engineers and high-level technicians for a better understanding of various innovative and novel techniques to cope with the need of micromachining, as well as microfabrication industries for successful implementation of microproduct manufacturing.
| Author | : Nicolas Gascoin |
| Publisher | : Springer Nature |
| Total Pages | : 571 |
| Release | : 2020-09-26 |
| Genre | : Technology & Engineering |
| ISBN | : 9811566194 |
This book gathers the best articles presented by researchers and industrial experts at the International Conference on “Innovative Design, Analysis and Development Practices in Aerospace and Automotive Engineering (I-DAD 2020)”. The papers discuss new design concepts, and analysis and manufacturing technologies, with a focus on achieving improved performance by downsizing; improving the strength-to-weight ratio, fuel efficiency and operational capability at room and elevated temperatures; reducing wear and tear; addressing NVH aspects, while balancing the challenges of Euro VI/Bharat Stage VI emission norms, greenhouse effects and recyclable materials. Presenting innovative methods, this book is a valuable reference resource for professionals at educational and research organizations, as well as in industry, encouraging them to pursue challenging projects of mutual interest.
