Programming tool

Résumé

A programming tool or software development tool is a computer program that software developers use to create, debug, maintain, or otherwise support other programs and applications. The term usually refers to relatively simple programs, that can be combined to accomplish a task, much as one might use multiple hands to fix a physical object. The most basic tools are a source code editor and a compiler or interpreter, which are used ubiquitously and continuously. Other tools are used more or less depending on the language, development methodology, and individual engineer, often used for a discrete task, like a debugger or profiler. Tools may be discrete programs, executed separately – often from the command line – or may be parts of a single large program, called an integrated development environment (IDE). In many cases, particularly for simpler use, simple ad hoc techniques are used instead of a tool, such as print debugging instead of using a debugger, manual timing (of overall progra

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https://en.wikipedia.org/wiki/Programming_tool

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This thesis is motivated from the fundamental decision problem in today's manufacturing industry which could be summarized as one simple question: how is it possible to achieve economic growth by taking advantage of the latest technologies while protecting the environment? The machine tool has undergone a remarkable change in recent years and the classical concept of an independent, manually operated machine tool, specially dedicated to a particular machining process no longer belongs to the production environment. The increasing usage of computer control and measuring equipment as well as workpiece and tool handling devices has transformed the machine tool into a sophisticated hybrid production system having a lower demand for human supervision of the process. All these efforts are gathered together in order to achieve a high productivity system able to machine different parts respecting quality requirements at the lowest cost. In addition, increasing attention to the environmental and health impacts by governmental regulations and by growing awareness in society is forcing manufacturers to find environmentally friendly designs and machining strategies. The objective of this research is to propose a multicriteria decision aid methodology (MCDA) for evaluation of the use phase of a machine tool system by jointly considering economical, technical and environmental criteria which allows the decision maker to be in a better position to make sustainable decisions. The evaluation is carried out at two levels by addressing the process level with its local cutting area effects and the main activities of the machine tool system by giving full consideration to reduction/elimination of the cutting fluid and reduction of the overall energy consumption. After carefully reviewing previous research, a consistent hierarchical evaluation criteria structure and an entity relationship diagram characterizing the organizational scheme of a database, which stores the data to be used in the evaluation process, is proposed for each level. As a second step, this thesis proposes a model for estimation of the mechanical energy requirements of the cutting subsystem of a machine tool based on the cutter location data, the cutting parameters and the technical specifications of the spindle and feed axes. The MCDA methodology and the energy consumption model were implemented in a software tool using the VBA (Visual Basic for Applications) language and was validated through various tests consisting in the machining of different milling and drilling features of a prismatic part by employing different cutting parameters and cooling/lubrication alternatives. In addition to the cutting tests, an extensive monitoring of the power share amongst the main subsystems of a modern machining center was carried out and a power data collection framework was proposed. The acquisition, interpretation and storage of the experimental data were supported by a measurement platform developed in the LabVIEW environment.

EPFL2010

Chargement

Knowledge-based decision support for improving the adaptive product development process

Predrag Spasojevic

The product development process (PDP) is a complex process encompassing many very diverse activities, and involving a fairly big number of actors, spread across different professions, teams and companies. In todayâs product development, more often than not these individual actors and groups of actors perform their duties almost isolated from the others, using their own methods and software tools to achieve their respective local goals within the overall development effort. Even though much of the same knowledge about the product is used in different phases and tasks of the PDP, in most cases it is not shared or structured in any formal manner, except locally in some cases. Instead, it is exchanged through meetings of the responsible people or other informal means. Current PDP support ICT solutions are focusing on specific parts of the process, but there is no integrated approach that includes product data and services required for the whole PDP, despite the knowledge commonalities shared by its parts and phases. Apart from that, information about the process itself (such as how the tasks are defined, planned and organized, which changes are made to a plan before and during the execution of the tasks, and based on which conditions are these decisions being made), is rarely kept or formally described, relying on the people and their memory. This lack of awareness about the process plans and execution among people responsible for different tasks within PDP leads to misunderstandings, collisions and delays arising much more often than necessary, and work being done in a suboptimal fashion. Having both the product and process knowledge captured, managed, shared and reused in a standardized manner would aid the process tremendously, by improving the collaboration between all the parties involved, making sure that the entire process and its individual tasks are executed at the right moment, with the correct resources, having minimal negative effect on the others, and with the best possible performance. This thesis presents an approach to reduce the impact of these issues, based on a PDP knowledge management and decision support software system. Ontologies, description logic and Semantic Web technologies are used to formalize the knowledge, enable reasoning and additional fact inferencing, as well as to make it easier to access by both machine and human actors in the PDP. As a first step, a general model of the PDP was created, based on detailed descriptions of product development processes in six companies from three different industry branches (aerospace, automotive and home appliances). In accordance with the model, a broad PDP ontology was designed and implemented, as part of a collaborative effort with other research institutes and companies. The ontology provides the formal structure for the knowledge encountered during the PDP by describing the relevant classes, properties and relations. In addition, the architecture of the ontology-centered knowledge base and the adjoining support software framework is described, showing relevant implementation details and features for supporting PDP planning and execution. They give insight into the benefits of applying the Semantic Web technologies in the product development domain, and how they provide the basis for improving the PDP. The benefits are reflected in shorter PDP project times and better results, which come from knowledge capture and reuse, improved collaboration, faster reaction and [...]

EPFL2015

Chargement

Finite element method based machining simulation environment for analyzing part errors induced during milling of thin-walled components

Jitender Kumar Rai, Paul Xirouchakis

The rigid body motion of the workpieces and their elastic-plastic deformations induced during high speed milling of thin-walled parts are the main root causes of part geometrical and dimensional variabilities; these are governed mainly from the choice of process plan parameters such as fixture layout design, operation sequence, selected tool path strategies and the values of cutting variables. Therefore, it becomes necessary to judge the validity of a given process plan before going into actual machining. This paper presents an overview of a comprehensive finite element method (FEM) based milling process plan verification model and associated tools, which by considering the effects of fixturing, operation sequence, tool path and cutting parameters simulates the milling process in a transient 3D virtual environment and predicts the part thin wall deflections and elastic-plastic deformations during machining. The advantages of the proposed model over previous works are: (i) Performs a computationally efficient transient thermo-mechanical coupled field milling simulation of complex prismatic parts comprising any combination of machining features like steps, slots, pockets, nested features, etc., using a feature based milling simulation approach; (ii) Predicts the workpiece non-linear behavior during machining due to its changing geometry, inelastic material properties and fixture-workpiece flexible contacts; (iii) Allows the modelling of the effects of initial residual stresses (residing inside the raw stock) on part deformations; (iv) Incorporates an integrated analytical machining load (cutting force components and average shear plane temperature) model; and (v) Provides a seamless interface to import an automatic programming tool file (APT file) generated by CAM packages like CATIA V5. The prediction accuracy of the model was validated experimentally and the obtained numerical and experimental results were found in good agreement. (C) 2007 Elsevier Ltd. All rights reserved.

Elsevier2008

Chargement

Finite element method based machining simulation environment for analyzing part errors induced during milling of thin-walled components

Jitender Kumar Rai, Paul Xirouchakis

Elsevier2008

Knowledge-based decision support for improving the adaptive product development process

Predrag Spasojevic

EPFL2015

EPFL2010