Download or read book Sensor Based Real time Process Monitoring for Ultra precision Manufacturing Processes with Non linearity and Non stationarity written by Omer Faruk Beyca and published by . This book was released on 2013 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This research investigates methodologies for real-time process monitoring in ultra-precision manufacturing processes, specifically, chemical mechanical planarization (CMP) and ultra-precision machining (UPM), are investigated in this dissertation.
Download or read book Sensors Sampling and Simulation for Process Control written by Brian G. Thomas and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This symposium aims to explore the current state of the art in control of industrial processes in the field of extraction and processing of metals and materials. New sensor technologies, more advanced real-time models, and faster computers are enabling better control systems for these processes. Specific topics include but are not limited to: (1) novel sensors for hostile-environment materials processes, such as online inclusion detection, temperature, and velocity in molten materials, surface condition of hot moving products, etc.; (2) innovative online sampling and analysis techniques, (3) models for real-time process control and quality monitoring systems; (4) process automation, scheduling, and plant-wide logistics optimization, (5) control of composition, temperature, microstructure, and morphology in sintering, smelting, refining, solidification, reheating, deformation, and transport of ores, slags, mattes, metals, materials, and aqueous solutions; (6) prediction, monitoring, control, and optimization of process parameters in these systems; (7) control in manufacturing processes, including casting, annealing, forging, rolling, extrusion, powder metallurgy, electronic materials, welding, etc.; (8) control of impurities and environmentally undesirable components in product and waste streams.
Download or read book Sensor based Modeling and Analysis of Advanced Manufacturing Systems for Quality Improvements written by Farhad Imani and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced sensing is increasingly invested in modern manufacturing systems to cope with the complexity and enhance information visibility, thereby leading to data-rich environments. Generated data provide unprecedented opportunities to investigate system dynamics and further improve quality monitoring and control for advanced manufacturing in real-time. However, high-dimensionality and complex structures of sensing data pose significant challenges. Realizing full potentials of sensing data depends to a great extent on the development of novel analytical methods and tools for effective modeling, monitoring, and control of manufacturing systems. The research objective of this dissertation is to develop new learning methodologies for real-time quality monitoring and control of complex manufacturing systems. This body of research will enable and assist in 1) understanding the effect of process conditions on quality of manufacturing builds, 2) extracting sensitive features and characterizing patterns of image data, 3) diagnosing defects in low-volume and highly-customized production settings, and 4) handling high dimensional spatiotemporal data. My research accomplishments include: 1) Process mapping and monitoring of porosity in additive manufacturing (AM): In Chapter 2, spectral graph theory and multifractal analysis are developed to quantify the effect of process conditions on lack of fusion porosity in builds made using AM process, and subsequently, to detect the onset of process conditions that lead to lack of fusion porosity from in-process sensor data. 2) Multifractal and lacunarity analysis for nonlinear pattern characterization: In Chapter 3, the joint multifractal and lacunarity analysis is designed to resolve local densities and characterize the filling patterns in image profiles. Further, we derive the composite quality index by computing Hotelling T2 statistics from multifractal and lacunarity features for defect detection and characterization in ultra precision machining (UPM) and AM image profiles. 3) Image-guided variant geometry analysis of layerwise build quality: In Chapter 4, we develop a tailored deep neural network (DNN) framework that learns the broad geometrical diversity of images from builds made with AM. The proposed methodology leverages the computer-aided design (CAD) file to register the region of interest (ROI) in each layerwise image. Next, we propose a dyadic partitioning method to delineate variant ROI into distinctive regions with the same size and in multiple scales. Then, we leverage the semiparametric spatial model to characterize the complex spatial patterns in subregion ROIs. Finally, a DNN is designed to learn incipient flaws from spatial characterization images. 4) Spatiotemporal Gaussian process for AM quality monitoring: In Chapter 5, a novel spatiotemporal Gaussian process (STGP) is introduced to model the standard geometric profile within ROIs and capture layer-to-layer spatiotemporal deviations for quality monitoring. Finally, we leverage the STGP model to develop new monitoring charts, namely, the STT2 and STLR tests, for the anomaly detection in AM processes. This framework enables on-the-fly assessment of AM build quality.
Download or read book Condition Monitoring and Control for Intelligent Manufacturing written by Lihui Wang and published by Springer Science & Business Media. This book was released on 2006-08-02 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Condition modelling and control is a technique used to enable decision-making in manufacturing processes of interest to researchers and practising engineering. Condition Monitoring and Control for Intelligent Manufacturing will be bought by researchers and graduate students in manufacturing and control and engineering, as well as practising engineers in industries such as automotive and packaging manufacturing.
Download or read book Industrial Process Sensors written by David M. Scott and published by CRC Press. This book was released on 2018-10-08 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: As manufacturing processes become increasingly complex, industry must rely on advanced sensor technology and process control to improve efficiency and product quality. Processes now need a variety of on-line measurements, such as film thickness, particle size, solids concentrations, and contamination detection. Industrial Process Sensors provides a coherent review of the physical principles, design, and implementation of a wide variety of in-process sensors used to control manufacturing operations. Real data from commercial installations illustrates the operation and limitations of these devices. The book begins with a review of the basic physics of sound, light, electricity, and radiation, with a focus on their role in sensor devices. The author introduces the generic sensor model and discusses the propagation of measurement errors. He goes on to describe conventional process sensors that measure temperature, pressure, level, and flow. The second half of the book focuses on more advanced topics, such as particle size measurement in slurries and emulsions, tomography and process imaging of manufacturing operations, on-line measurement of film thickness, identification of polymer type for recycling, and characterization of reinforced polymers and composites. By exploring both theory and final implementation of sensors used to control industrial manufacturing processes, Industrial Process Sensors provides the information you need to develop solutions to a wide range of industrial measurement needs.
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Download or read book Smart System Monitoring for High Dimensional Multistage Manufacturing Processes written by Mohammadhossein Amini and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This research studies a system-wide approach to monitor product quality in real time to avoid manufacturing defects in high dimensional multistage processes. Traditional control charts have been widely used in various manufacturing industries due to their simplicity. However, in today's complex manufacturing processes, these charts are not efficient anymore. A complex manufacturing process may include multiple stages with sensors embedded throughout the processes that generate a huge amount of data in high dimensions. Since the numbers of stages and parameters are usually very large, traditional control charts are incapable of handling a multistage high-dimensional problem mainly due to the problem of false alarm rates of simultaneous monitoring. Industry 4.0 and Internet of things (IOT) provides opportunities to achieve better quality products toward a zero defect system. Currently, data is either thrown away or stored in unused databases. In a inefficient approach called "fire-fighting", when there is a decline in the quality, process engineers go back to archived process data to figure out the problem. However, due to various reasons such as messy and unclean data, outdated data, and common manufacturing data features such as complexity and dimensionality issues, this process may take a long time. In the best cases, researchers provide classification-based process monitoring techniques to use the manufacturing data. However, the state-of-the-art classification-based process monitoring techniques usually provide quality predictions at the end of the manufacturing process and provide no chance to fix the problem. In addition, knowing high dimensional, unbalanced, and newly released manufacturing data, the literature is largely silent on providing a comprehensive study addressing those issues. While addressing above mentioned challenges, the proposed research delivers a stage-wise process monitoring which provides plenty of time for engineers to fix the process before the last point. Then, based on the results from the predictive models, adjustable process parameters can be altered to avoid potential defects. The proposed research relies on predictive models which are built on a series of classifiers. The proposed research is implemented in two different manufacturing application - additive manufacturing (AM) and semiconductor production. The proposed research in the AM industry called the Multi-Layer Classification Process Monitoring (MLCPM) is applied in the Laser Powder Bed Fusion (LPBF) metal printing process. In the semiconductor manufacturing industry, we applied the proposed method on a very imbalanced high dimensional production data called SECOM (SEmiCOnductor Manufacturing) which is publicly available through the UCI repository lab. In this study, we examined various classification models and sampling approaches to find the best results in terms of specific metrics chosen regarding the imbalanced nature of the problem. The applied case studies show the effectiveness of the proposed framework in terms of accurately predict the real-time production quality state. The chance of predicting the quality of the process before the last step provides chances to reduce the waste and save cost and time in the production systems.
Download or read book Plug and Play Monitoring and Performance Optimization for Industrial Automation Processes written by Hao Luo and published by Springer. This book was released on 2016-10-07 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.-Ing. Hao Luo demonstrates the developments of advanced plug-and-play (PnP) process monitoring and control systems for industrial automation processes. With aid of the so-called Youla parameterization, a novel PnP process monitoring and control architecture (PnP-PMCA) with modularized components is proposed. To validate the developments, a case study on an industrial rolling mill benchmark is performed, and the real-time implementation on a laboratory brushless DC motor is presented.
Download or read book Sensor based Monitoring and Inspection of Surface Morphology in Ultraprecision Manufacturing Processes written by Prahalad Krishna Rao and published by . This book was released on 2013 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. A combined neural network and Bayesian learning approach for early detection of UPM process anomalies by integrating data from multiple heterogeneous in situ sensors (force, vibration, and acoustic emission) is developed. This approach captures process drifts in UPM of aluminum 6061 discs (sa ~ 20 min) within 15 milliseconds of their inception and is therefore valuable for minimizing yield losses.
Download or read book Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis written by Xiangyu Kong and published by Springer Nature. This book was released on with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Ultra precision High Performance Cutting written by Ekkard Brinksmeier and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the research report of the DFG Research Unit FOR 1845 (2014-2020) of the Universities of Bremen and Hannover. The thematic focus lies on speeding up ultra-precision machining technology by following a holistic approach to high-performance cutting. This includes ultra-precision milling at high spindle speeds (>10000 rpm), precision tool setting mechanisms for multi-cutting-edge diamond milling tools, magnetic levitation technology for high velocity feed axes, and dedicated control strategies for error identification and compensation at high speeds. Furthermore, automation and measurement aspects of the machine setup process especially for precision balancing of the spindle rotors are presented. Finally, it is demonstrated that how the developed technologies may be integrated into a common machine tool setup. The target audience primarily comprises research experts and practitioners in production engineering, but the book may also be of interest to graduate students alike.
Download or read book Sensors Applications Sensors in Manufacturing written by Ichiro Inasaki and published by Wiley-VCH. This book was released on 2001-05-03 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: A treatment of on-line monitoring techniques for optimizing various manufacturing processes while also making them safer. The book looks at the latest developments in sensors for quality control or preventing downtime, as well as environmental protection in the form of emission monitoring and waste reduction. Although the text concentrates on practical applications, it also provides readers with the necessary basic principles.
Download or read book A Reference Architecture for Real Time Performance Measurement written by Sachin Karadgi and published by . This book was released on 2014-06-30 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Dynamic Modeling of Complex Industrial Processes Data driven Methods and Application Research written by Chao Shang and published by Springer. This book was released on 2018-02-22 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts. The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.
Download or read book Sensors and Control Systems in Manufacturing Second Edition written by Sabrie Soloman and published by McGraw Hill Professional. This book was released on 2009-07-06 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Comprehensive Guide to Sensors and Control Systems in Manufacturing Thoroughly updated with cutting-edge technologies, this detailed resource offers proven methods for effectively evaluating, selecting, and implementing sensors and controls to ensure error-free manufacturing environments. Sensors and Control Systems in Manufacturing, Second Edition offers step-by-step guidance on applying sensors to measure product parameters, control manufacturing, develop precision manufacturing systems, and generate and control motion. Real-world examples are included throughout to demonstrate successful industrial applications. Coverage includes: The latest sensor technologies, such as MEMS, photo-, bio-, nano-, and LED sensors Sensor classification and types, including photoelectric, inductive and capacitive proximity, confocal microscropy, and laser sensors Fiber optics in sensors and control systems Networking of sensors and control systems in manufacturing Sensors and control technology in computer-integrated manufacturing Advanced sensor technology in precision manufacturing applications Industrial sensors and control Sensors in flexible manufacturing systems Communications--indexing, transmission, and signal processing SpectRx(tm) sensing technology Manufacturing operation and control through financial planning
Download or read book Intelligent Process Monitoring and Control Using Sensor Data written by Olufemi A. Omitaomu and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The availability of advanced information technologies such as the various types of automatic data acquisitions and sensor systems has created a tremendous capability to collect valuable process data. The effective and timely processing of this data is the backbone of intelligent process monitoring and control. The need for more practical process monitoring models continues to grow as these technologies become more sophisticated. This book presents effective methods for processing sensor data in order to achieve intelligent process monitoring and control strategies. In developing these methods, the following issues were considered: (a) how to represent secondary data in such a way that the features conserve the condition information essential for real-time decisions; (b) how to obtain a set of parsimonious features that are able to capture new information and also preserve the condition information in the original data; and (c) how to reduce the uncertainty in selecting subset features for prediction purposes. The book is an indispensable resource for researchers, professionals, and graduate students in industrial engineering, manufacturing, and related fields of study.
Download or read book Industrial Process Sensors written by David Mark Scott and published by . This book was released on 2008 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: As manufacturing processes become more complex, industry must rely on advanced sensor technology and process control to improve efficiency and product quality. This text explores the physical theory, design, and implementation of sensors used to control manufacturing processes.
