computational intelligence for manufacturing
Tài liệu Computational Intelligence In Manufacturing Handbook P1 docx
... 1 Computational Intelligence for Manufacturing D T Pham University of Wales P T N Pham University of Wales 1.1 1.2 ... Engineering and Manufacture Conclusion 1.1 Introduction Computational intelligence refers to intelligence artificially realised through computation Artificial intelligence emerged as a computer science discipline ... finite-elements analysis of forging deformation [Yano et al., 1997] • Storing, retrieving, and adapting planar linkage designs [Bose et al., 1997] • Designing additive formulae for engine oil products...
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Computational Intelligence In Manufacturing Handbook P3
... Agile Infrastructure for Manufacturing Systems (AIMS): A Vision for Transforming the US Manufacturing Base, Defense Manufacturing Conference Parker, M (1997) The IMS Initiative, Manufacturing Engineer, ... concepts into a manufacturing setting: Holon: An autonomous and cooperative building block of a manufacturing system for transforming, transporting, storing, and/or validating information and physical ... promise ©2001 CRC Press LLC for reconfiguring distributed manufacturing systems as holonic structures, as well as for investigating the potential for a nonholonic manufacturing system to migrate...
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Computational Intelligence In Manufacturing Handbook P5
... method For evaluation of scheduling rules, objectives are performance measures, alternatives are combinations of scheduling rules and α j is the weight of the jth performance measure wi For this ... for dealing with the fuzziness, incompleteness, and randomness of information in the knowledge base, fuzzy logic furnishes a systematic basis for the computation of certainty factors in the form ... the membership value mvxij , which is the simulation results for the ith alternative related to the jth performance measure Therefore, xij in Equation 5.1 is replaced with its membership value...
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Computational Intelligence In Manufacturing Handbook P4
... requirements form the basis for the creation of manufacturing cells Each cell is dedicated to manufacturing one or more part families The potential benefits from (properly designed) cellular manufacturing ... networks for GT/CM has undergone a similar evolution As described below, early efforts for utilizing ANNs for GT/CM were devoted to identification of part families based on design and manufacturing ... applicability of all three networks for the part–machine grouping problem The ART1 method seemed to perform well for some problems, while SOFM performed better for others The SOFM model was also...
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Computational Intelligence In Manufacturing Handbook P7
... and T.T Narendran, (1992) Neural network model for design retrieval in manufacturing systems, Computers in Industry, 20(1):11-23 For Further Information A good introduction to engineering design ... employing traditional information retrieval methods for component design retrieval First, these systems focus on the processing of textual sources This type of design information would be hard ... design task for new components Lately, several methods have been developed to fulfill the needs for component design such as indexing by skeleton, by material, by operation, or by manufacturing...
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Computational Intelligence In Manufacturing Handbook P6
... variety and small manufacturing lot sizes are the major problems in batch manufacturing systems The improvement in productivity is therefore essential for industries involved in batch manufacturing ... Genetic Algorithm for Layout Optimization 6.9 A Case Study 6.10 Conclusion 6.1 Introduction Batch manufacturing is a dominant manufacturing activity in many industries due to the demand for product ... defined cellular manufacturing as follows: A manufacturing cell is a collection of dissimilar machines or manufacturing processes dedicated to a collection of similar parts and cellular manufacturing...
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Computational Intelligence In Manufacturing Handbook P9
... product design practice employing the design for manufacturing (DFM) philosophy also needs a CAPP system to generate the best process plan for a given part for manufacturing evaluation In general, a ... end-mill cutter with a much smaller diameter than that for F4, F4 should be machined before F10 PRs among a set of OPTs for machining a feature — For every set of OPTs obtained through mapping from ... cost index for using machine i, a constant for a particular machine Tool usage cost (TC) n TC = ∑TCI Equation (9.2) i i =1 where TCIi is the tool cost index for using tool i, a constant for a particular...
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Computational Intelligence In Manufacturing Handbook P8
... problems are randomly generated and computational results are reported for comparison purposes 8.1 Introduction Process planning transforms design specifications into manufacturing processes, and computer-aided ... operation j performed by MUi on WLl in the kth time slot Define s ijl ϭ , if k k k ϭ 1; s ijl ϭ ϩϱ for infeasible i, j, k, l ; and s k ϭϩϱ if Σ x ijl ϭ for all j, k, l , i.e., for any ijl i particular ... performed by MUi on WLl in the kth time slot and define f ijl ϭϩϱ for infeasible i, j, k, l For example, let 1–3–2–6–4–7–8–5 be a feasible solution of a sequence of eight operations required for...
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Computational Intelligence In Manufacturing Handbook P12
... characteristics Therefore, performance of the controller significantly affects the overall performance of the control system for the manufacturing process Equally important is the performance of the ... algorithmic and information processing tool for use in monitoring and control of manufacturing process In most manufacturing processes, the role of the artificial neural network is to perform signal ... the ANNs being used for manufacturing process applications are able to exhibit the ability to Generalize the results obtained from known situations to unforeseen situations Perform classification...
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Computational Intelligence In Manufacturing Handbook P11
... and profitability of these manufacturing firms The primary causal factor for cast fractures and/or deformities is the distribution of moisture content inside the cast before firing When the moisture ... ensure the extraction of as much information from the available data as possible for developing an application network, ensuring the best possible prediction performance The trade-off of using these ... for the slip to cast, the cast piece will be too wet and may result in instabilities These defects are manifest in the subsequent steps of the manufacturing process Defects that are found before...
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Computational Intelligence In Manufacturing Handbook P10
... It is essentially a kind of uniform crossover for literal permutation encodings incorporated with a repairing procedure Uniform crossover operator was proposed for bit-string encoding by Syswerda ... considered for the neighborhood of a schedule For a permutation representation, the neighborhood for a given chromosome can be considered as the set of chromosomes (schedules) transformable from ... (MPP) problems are common among manufacturing systems The problem, in general, provides a detailed description of manufacturing capabilities and requirements for transforming a raw stock of materials...
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Tài liệu Computational Intelligence In Manufacturing Handbook P19 doc
... this information system, the rough set analyzer proceeds to perform concept forming and carry out approximation Three concepts, namely C1(Comfort = Very low), C2(Comfort = Low), and C3(Comfort ... : Rule Certain rules for concept ë1í: 1: IF(Blood Pressure=3) THEN Comfort=1 2: IF(Hemoglobin=1) THEN Comfort=1 3: IF(Temperature=3) THEN Comfort=1 Certain rules for concept ë2í: 1: IF(Temperature=1)&(Hemoglobin=2) ... IF(Hemoglobin=2)&(Oxygen_Saturation=2) THEN Comfort=2 6: IF(Oxygen_Saturation=1) THEN Comfort=2 Possible rules for concept ë2í: 7: IF(Blood Pressure=1) THEN Comfort=2 8: IF(Hemoglobin=2) THEN Comfort=2 Confidence level...
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Tài liệu Computational Intelligence In Manufacturing Handbook P18 pdf
... work for various applications, data transformation is necessary to standardize the raw data into the value range that both neural network components can work with Formulas for data transformation ... The data input module takes observations from QC x and transforms them into appropriate types for both control charts for mean M-NN and for variance V-NN, which are the major components of the data ... neural network for detecting process mean shift On the other hand, Chang and Ho’s (1999) V-NN is a 5–12–12–1 neural network for detecting process variance shift Data from transformation formulas (Equations...
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Tài liệu Computational Intelligence In Manufacturing Handbook P17 doc
... by Myers and Carter [1973] provides an alternate method for achieving a target for the mean while also achieving a target for the variance For an in-depth discussion on response surface methodology ... opposed to point-to-point search performed in classical methods 17.3 Design of Quality Controllers for On-Line Parameter Design The proposed framework for performing on-line parameter design is ... 1.0 17.4.4.3 Comparison of Performance of IQCs and SPD For the different simulations, the iterative inversion for the IQC, referred to from now on as IQCII, is performed using an iterative inversion...
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Tài liệu Computational Intelligence In Manufacturing Handbook P16 pptx
... may be required for further development of ISRR technology for the next century References Armarego, E J A and Deshpande, N P., 1989, Computerized predictive cutting models for forces in end-milling ... divisions of the input and output spaces are shown in Figure 16.1, where N is for x1, and for x2 and y The width for each variable is the same µ( x1 ) S2 S1 MD L1 L2 x1− x1+ d µ( x2 ) S3 S2 S1 ... industries to reduce manufacturing costs by eliminating the relatively inefficient off-line quality control aspect of surface roughness inspection Therefore, reductions in manufacturing costs will...
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Tài liệu Computational Intelligence In Manufacturing Handbook P15 pdf
... objectives for the modern manufacturing industries, so most manufacturing systems are fast converting to fully automated environments such as computer integrated manufacturing (CIM) and flexible manufacturing ... problems, computational intelligence (fuzzy systems, neural networks, wavelet transforms, genetic algorithms, etc.) has been applied in some TCM systems in recent years The TCM systems based on computational ... wavelet transforms to TCM First, the fuzzy neural network and the wavelet transforms are respectively introduced Second, the continuous wavelet transforms (CWT) and discrete wavelet transforms (DWT)...
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Tài liệu Computational Intelligence In Manufacturing Handbook P14 doc
... Monitoring and Diagnosing Manufacturing Processes Using Fuzzy Sets 14.3.1 Using Fuzzy Systems to Describe the State of a Manufacturing Process For monitoring and diagnosing manufacturing processes, ... and the attributes may take various forms such as a tablet form (Equation 14.1) or a stepwise function (Equation 14.2) For simplicity, let us use the tablet form First, each attribute is divided ... resultant force F = Crest factor of the feed force CF = Fx + Fy + Fz ( ) ( ) max F z – F z Fz F The ratio of the cutting forces RF = z = Fr 10 11 Fz 2 Fx + Fy The mean crossing rate of the feed force...
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Tài liệu Computational Intelligence In Manufacturing Handbook P13 docx
... 13.2 The Role of Computational Intelligence Recently, the use of computational intelligence in various manufacturing applications has dramatically increased, and semiconductor manufacturing is ... Optimization for Multiple PECVD Responses The parameter sets called for in Tables 13.6 and 13.7 are useful for obtaining optimal performance for a single PECVD response, but provide suboptimal results for ... eligible for manufacturing applications However, the backpropagation (BP) algorithm is the most generally applicable and most popular approach for microelectronics manufacturing Feedforward neural...
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Tài liệu Computational Intelligence In Manufacturing Handbook P2 docx
... good candidates for the applications of feedforward neural networks Recurrent neural networks, such as the Hopfield networks, are usually used as computational models for solving computationally ... modeling and design of manufacturing systems, including machine-cell and part-family formation for cellular manufacturing systems; (2) modeling, planning, and scheduling of manufacturing processes; ... operators perform the classification tasks Jamal [40] also applied a multilayer feedforward neural network trained with the BP algorithm for grouping part families and machine cells for a cellular manufacturing...
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Application of computational intelligence for faulty detection and diagnosis of induction motors and electromechanical systems
... APPLICATION OF COMPUTATIONAL INTELLIGENCE FOR FAULT DETECTION AND DIAGNOSIS OF INDUCTION MOTORS AND ELECTROMECHANICAL SYSTEMS ZHANG YIFAN B Eng (Hons.), Tianjin University A THESIS SUBMITTED FOR THE ... shown in Fig 1.2, the platform uses FFT and Envelope Analysis for processing each time-domain healthy or faulty waveform collected from a healthy or faulty motor, ICA for extracting the features ... data pre-processed in a MATLAB platform are recorded in mat format at 12,000 samples/second for drive and fan-end bearing faults, and at 48,000 samples/second only for drive-end bearing faults The...
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