Computer aided process engineering

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Open computer aided innovation to promote innovation in process engineering

Open computer aided innovation to promote innovation in process engineering

Knowledge-based engineering TRIZ a b s t r a c t Recent advances in theoretical approaches to innovation and in information and communi- cation technologies provide a more structured knowledge-driven environment for inventors, designers and engineers. Consequently, a new category of tools known as computer aided innovation (CAI) has emerged, with goals of assisting designers in their creative performance and of effectively implementing a complete innovation process throughout the entire prod- uct or process life cycle. Based on the concept of Open CAI 2.0 introduced by Hüsig and Kohn (2011) , this paper goes further by proposing a prototype software tool for the next evolutionary step of CAI arising from two major recent developments: new advances in technological possibilities in the software field commonly referred to as “Web 2.0” and a strategic paradigm shift from closed to open innovation in many companies. This contri- bution is one of the first attempts to create a concrete methodological framework based on collective intelligence (through Web 2.0 practices), a collaboration support (with the benefits of on-line social networks) and a problem resolution process. In the proposed Open CAI 2.0, the inventive problem solving method is inspired by the coupling between the innovation theory TRIZ and case based reasoning in order to support the generation of inventive tech- nological solutions because problem solving often requires a reformulation of the initial problem to construct an abstract model of the problem. This paper highlights the impor- tance of knowledge acquisition, capitalization and reuse as well as the problem formulation and resolution in collaboration. A case study on biomass gasification is used to illustrate the method and tool capabilities in the chemical process industry.
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Open computer aided innovation to promote innovation in process engineering

Open computer aided innovation to promote innovation in process engineering

Knowledge-based engineering TRIZ a b s t r a c t Recent advances in theoretical approaches to innovation and in information and communi- cation technologies provide a more structured knowledge-driven environment for inventors, designers and engineers. Consequently, a new category of tools known as computer aided innovation (CAI) has emerged, with goals of assisting designers in their creative performance and of effectively implementing a complete innovation process throughout the entire prod- uct or process life cycle. Based on the concept of Open CAI 2.0 introduced by Hüsig and Kohn (2011) , this paper goes further by proposing a prototype software tool for the next evolutionary step of CAI arising from two major recent developments: new advances in technological possibilities in the software field commonly referred to as “Web 2.0” and a strategic paradigm shift from closed to open innovation in many companies. This contri- bution is one of the first attempts to create a concrete methodological framework based on collective intelligence (through Web 2.0 practices), a collaboration support (with the benefits of on-line social networks) and a problem resolution process. In the proposed Open CAI 2.0, the inventive problem solving method is inspired by the coupling between the innovation theory TRIZ and case based reasoning in order to support the generation of inventive tech- nological solutions because problem solving often requires a reformulation of the initial problem to construct an abstract model of the problem. This paper highlights the impor- tance of knowledge acquisition, capitalization and reuse as well as the problem formulation and resolution in collaboration. A case study on biomass gasification is used to illustrate the method and tool capabilities in the chemical process industry.
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Computer Aided Process Engineering for Sustainability Analysis of Food Production

Computer Aided Process Engineering for Sustainability Analysis of Food Production

c Université de Toulouse, INP-ENSIACET, LGC (Laboratoire de Génie Chimique), Toulouse, France d CNRS, UMR 5503, Toulouse, France guillaume.busset@ensiacet.fr We propose a dedicated tool that permits the evaluation of food production process sustainability, in particular virgin olive oil process. It is based on an integrated process-product-enterprise (P²E) approach that allows systematically taking into account sustainable issues within food production process design. The domain specific tool “&cOlive” is implemented as an Excel application. This CAPE based tool assesses sustainability of a future or an existing system of virgin olive oil production. In the first case, 28 configurations of the system may be chosen based on 7 agricultural scenarios and 4 industrial scenarios (extraction).These scenarios were built with field data directly collected through questionnaires and visits of olive oil producers in France, in the context of the European OiLCA project. Complementary data were provided by French experts from the Centre Technique de l’Olivier . They completed and reinforced the relevance and the quality of the model. Finally, commercial databases such as Ecoinvent for environmental LCA were used. The tool offers the opportunity to simulate a lot of scenarios and to study the influence of different extraction technologies and different operating parameters on sustainability.
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Collaborative framework in computer aided innovation 2.0 : Application to process system engineering

Collaborative framework in computer aided innovation 2.0 : Application to process system engineering

Figure 6.5 Problem description GUI 6.4.2 Solution selection Several ideas were generated but only the retained one is presented here. This concept was chosen with the opinion that the community members expressed in a numerical way, i.e. rating, which is also useful as an input to the algorithms for a recommendation system. The evaluation is based on cross-evaluation, in which the key is allowing the members of the community to be the judges, i.e., the method uses precisely the same group of people who work on the system as judges. The evaluation process consists of two stages: i) creation of a questionnaire by the members, and ii) assessment of the ideas by the members. The specific questionnaire is based on the design goal but with a limited number of topics and with a weight assigned to each topic. In the second stage, each member provides their opinion on the set of ideas that they produced as well as on those of the other members. Then, a collective restitution of the assessment with a ranking is made by the community members. Obviously, the potential flaw is the self-judgment bias, i.e., an individual can be inclined to give a higher score to their idea during the evaluation stage. To neutralize this potential flaw, two filters were first used to identify erroneous values: the double confidence interval (by ideas and by topics) and Student’s t-test (method of mean test). After several tests, the two previous filters were not sufficient; consequently, the analytical model based on analysis of variance proposed by (Sun and Kantor, 2006) was implemented.
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Systemic approach and decision process for sustainability in chemical engineering: Application to computer aided product design

Systemic approach and decision process for sustainability in chemical engineering: Application to computer aided product design

SECOND PART: COMPUTER AIDED PRODUCT DESIGN IN CHEMICAL FIELD We plan to develop an innovative and efficient Computer Aided Product Design CAPD method and tool dedicated to chemical produ[r]

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Computer-aided Tooling Design for Manufacturing Processes

Computer-aided Tooling Design for Manufacturing Processes

Index Terms—Computer-aided Tool Design, Plastic Injection Molds, Jigs and Fixtures. I. I NTRODUCTION Manufacturing engineering constitutes an important branch of engineering study as any direct improvement of existing manufacturing processes or an introduction of novel processes could significantly improve production efficiency, product quality and reduce design and processing time. This would enhance the competitiveness of a manufacturing company and maintain its leading edge over its competitors. Tooling design is as important a topic as the manufacturing process itself. Without suitable tooling, manufacturing processes are often crippled or rendered totally inefficient. The trade of a tooling designer, however, has been traditionally linked to long years of apprenticeship and skilled craftsmanship. There appears to be more heuristic know-how and knowledge acquired through trial and error than deep scientific analysis and understanding. With the increasing use of computer tools and technology, this scenario has changed rapidly since the introduction of CAE tools in the early 1980s.
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Computer-aided design for multilayer microfluidic chips

Computer-aided design for multilayer microfluidic chips

To complete the design automation of the control layer, we suggest a routing algorithm to connect control channels to peripheral I/O ports.. To the microfluidic com[r]

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Computer-Aided Design and Optimization of a Redundant Robotic System for Automated Fiber Placement Process

Computer-Aided Design and Optimization of a Redundant Robotic System for Automated Fiber Placement Process

Keywords: Robotic fibre placement; Computer-Aided Design; Optimal motion planning; Collision detection; Robot programming INTRODUCTION Recently, use of fiber reinforced composite materials has drastically increased, mainly in aerospace and automotive industries [1]. Compared to their conventional counterparts, composite materials offer better stiffness-to-weight ratio, strength-to-weight ratio, flexibility of shaping and corrosion resistance [2]. To produce components from composite materials, a new technological process AFP (Automated Fiber Placement) is increasingly implemented. In this process the workpiece molds or liners are mounted on the shaft of a rotating positioner to improve the accessibility of certain locations. An industrial manipulator equipped with a specialized technological tool is used to heat the fiber tows and place them in-situ using a pressure roller [3].
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A computer-aided system for space welding

A computer-aided system for space welding

Since welding is bound to be indispensable for construction of large-scale structures and long-term repairs in space environment, a need for advancement of metals joining p[r]

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Computer-aided mobility analysis of parallel mechanisms

Computer-aided mobility analysis of parallel mechanisms

3 judgment criteria that are easy to use and program. To solve the mobility analysis problems, based on POC theory, a computer-aided software tool for the mobility analysis of PMs will be implemented in this work. The initial digital model and the revelent algorithms of mobility analysis were investigated in [29,30] for the PMs constituted only by revolute joints and prismatic joints. Considering the geometric properties of multi-DOF pairs and the coupling between rotations and translations, this paper presents a complete representation of topological structure of PMs, and gives the systematic rules for performing the union and intersection operations of POC. Furthermore, the algorithms of mobility analysis for serial and parallel mechanisms are proposed. Finally, a software package for automatic mobility analysis is described and some typical examples of PMs are presented to illustrate its effectiveness.
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Augmented Airbrush for Computer Aided Painting (CAP)

Augmented Airbrush for Computer Aided Painting (CAP)

1. INTRODUCTION The plastic arts of painting and sketching have inspired computer graphics (CG) and human-computer interaction (HCI) researchers to find a creative process independent from lengthy acquisition of manual skills. Specifically, the na¨ıve approach of Paint-by- Numbers served as a cornerstone for many attempts at creating a manual rendering method with computational assistance [Hertz- mann et al. 2001]. Beyond that, some researchers studied the man- ual styles of skilled graphic artists to enable a virtual simulation of their physical signature [Berger et al. 2013]. However, while re- searchers acknowledge the value of physical rendering for its au- thentic, subjective, and chaotic qualities, most of the work in CG simulates these values in a virtual environment, instead of enhanc- ing the physical activity [Baxter et al. 2004].
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Computer-aided training for risky decision making

Computer-aided training for risky decision making

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r]

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Computer Aided Aroma Design. I. Molecular knowledge framework

Computer Aided Aroma Design. I. Molecular knowledge framework

The screening of molecules requires to compare the estimated properties to the target set of properties. ThermoML is an XML-based approach for storage and exchange of experimental and critically evaluated thermophysical and thermochemical property data. Issued from a collaboration between major journals in the field like the Journal of Chemical Engineering Data and the Thermodynamics Research Center at the National Institute of Standards and Technology, it enables to store conveniently experimental data and sources (Frenkel et al., 2003), but also the related uncertainties (Chirico et al., 2003). Data in the form of equations and estimated data from any method are also considered (Frenkel et al., 2004). Within our framework, we substitute the Compound block describing the molecule in ThermoML by the modified CML formalism explicated above. Furthermore, as suggested in by Frenkel et al., 2004, we shall use the sPredictionMethodDescription [String] tag within the Prediction element of ThermoML to store the molecular descriptors used by any estimation method, e.g. the list and occurrence of the elementary, basic and composed groups. Finally, property value variables are typed to manage both character type subjective properties and numerical type objective properties.
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Computer Aided Formal Design of Swarm Robotics Algorithms

Computer Aided Formal Design of Swarm Robotics Algorithms

The approach on which we focus in this work is formal proof, that is proof development mechanically certi- fied by a proof assistant. Mechanical proof assistants are proof management systems where a user can express data, programs, theorems and proofs. In sharp contrast with automated provers (like model-checkers), they are mostly interactive, and thus require some kind of expertise from their users. Sceptical proof assistants provide an additional guarantee by checking mechanically the soundness of a proof after it has been interactively developed. Formal proof allows for more genericity as this approach is not limited to particular instances of algorithms. During the last twenty years, the use of tool-assisted verification has extended to the validation of distributed pro- cesses, in contexts such as process algebras [ 7 , 20 ], symmetric interconnection networks [ 21 ], message passing settings [ 23 ], and self-stabilization [ 1 , 15 ], etc. The main approach for mechanized proof dedicated to swarms of mobile entities is so far the P ACTOLE 2 framework. Initiated in 2010, The P ACTOLE framework enabled the use of high-order logic to certify impossibility results, as well as soundness of protocol, for swarms of autonom- ous mobile robots. To certify results and to guarantee the soundness of theorems, the proof assistant it uses is C OQ . Briefly, C OQ is a Curry-Howard-based interactive proof assistant that enjoys a trustworthy kernel. Its base language is a very expressive λ-calculus, the Calculus of Inductive Constructions [ 10 ], where datatypes, objects, algorithms, theorems and proofs can be expressed in a unified way, as terms. The syntax is close to that of an ML-like programming language, and a proof development consists in trying to build, interactively and using tactics, a λ-term, the type of which corresponds to the theorem to be proven (Curry-Howard style). The small kernel of C OQ simply type-checks λ-terms to ensure soundness. Most importantly : a theorem or a lemma can
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Reactive Visual Programs for Computer-Aided Music Composition

Reactive Visual Programs for Computer-Aided Music Composition

tional : they process inputs, produce an output and terminate. 5 The output musical structures (scores, sounds, etc.) are played, read or interpreted by a performer or sequenced/rendered at a later stage. Such systems therefore make a distinction between computation time and musical time: the musical result is produced when the overall process is over, and its temporal structure is independent from the “run time” of the program. This paradigm allows for the formalization and generation of more sophisticated musical structures, without time-related restrictions or constraints (e.g. limitations of the accessible time domain, or constraints on complexity when results are required within strict time delays).
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A Standard for computer-aided design/drafting (construction)

A Standard for computer-aided design/drafting (construction)

The standard applies to the computer-aided preparation of construction drawings and, in general context, it establishes detailed recommendations on implementation of drafting technique[r]

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Using projection operators in computer aided geometric design

Using projection operators in computer aided geometric design

Design Laurent Bus´ e, Mohamed Elkadi, and Bernard Mourrain Abstract. We give an overview of resultant theory and some of its ap- plications in computer aided geometric design. First, we mention different formulations of resultants, including the projective resultant, the toric resul- tant, and the residual resultants. In the second part we illustrate these tools, and others projection operators, on typical problems as surface implicitiza- tion, inversion, intersection, and detection of singularities of a parameterized surface.

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Computer-aided design and optimization of a redundant robotic system for automated fiber placement process

Computer-aided design and optimization of a redundant robotic system for automated fiber placement process

A typical AFP workcell, comprising of a 6-axis manipulator and 1- or 2-axis positioner for rotating the workpiece, has at least 7-8 degrees of freedom (DOF) whereas the fiber placement task requires only 6 DOF. This kinematic redundancy provides the user with some flexibility in programming the robot motions, and at the same time creates a problem of redundancy management in an optimal way in order to maximize the productivity. At present, a general trend in literature for redundancy resolution is based on converting this continuous path problem into a discrete one [4]. Further enhancements were successfully achieved for the applications of laser cutting in [5] following a graph-based search. For fiber placement application, manipulator motion planning was developed in [6] assuming constant tool velocity. An alternative approach was proposed in [7], focusing on tool path smoothing in Cartesian space. In [8], the authors propose a singularity-free optimal design for a 2T2R parallel robot with a 2-axis positioner, thus eliminating the kinematic redundancy for the AFP process.
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Computer-aided industrial process design; the ASPEN Project. First annual report for the period.

Computer-aided industrial process design; the ASPEN Project. First annual report for the period.

The prototype simulator, named PLEXSYS II, is being used to simulate three coal conversion processes: The IGT HYGAS Process, the Exxon Donor-Solvent Process, and the Conoco Coal [r]

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Computer-aided detection for digital breast tomosynthesis

Computer-aided detection for digital breast tomosynthesis

Generally, in tomography or tomosynthesis, this is achieved by applying one of the reconstruc- tion techniques that have been specifically designed for this purpose. We will give an overview of the most popular reconstruction techniques in Section 4.1. In our framework, feature extraction is performed on the projected views. This increases the dimensionality of the data to be fused compared to reconstruction of the intensity images. Classical reconstruction techniques cannot be applied without modification since they have been designed to process intensity images where a single value is assigned to each pixel. Furthermore, the presence of fuzzy contours needs to be taken into account when we combine the set of projected views. In Section 4.2 we present two novel approaches that propose solutions to this problem. Partial defuzzification aims at processing the projection images in a fashion that allows for back-projection-type operators to be used for passing into 3D space. The particle-based fusion of fuzzy data follows a different approach. We simply try to establish a correspondence between a given voxel and a set of pixels in the projection images. No volume to be displayed is computed. In fact, the obtained sets serve as input to a classifier that is described in Chapter 5.
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