[en] Input of solid objects to a CAD/CAM system has been accomplished using serial sections and 3-D surface reconstructions obtained with an unmodified medical CT scanner

[en] Many computer programs and a variety of models exist for the design of accelerator lattices and the correction of errors. Many physicists contributed to this work by developing codes to suit a variety of machines. At present, we are integrating some of these codes into a unified framework to design and control any type of machine. We will refer to this system of interactive accelerator design, control, and analysis codes as the All-In-One Modeling system (AIM). This paper will explore the utilities of AIM for future accelerator modeling and control. As an example, we will describe a procedure to produce both a linear and a nonlinear model for SPEAR

[en] This report contains the abstracts and the program for the 7th DOE workshop on Computer-Aided Engineering

[en] P.D.M.S. (''Plant Design Management System'') is a computer based management system designed to assist the engineer, with no previous computer knowledge, to solve the problems associated with plant and piping design. The essential feature of P.D.M.S. is that it provides the user with the ability to create a 3D model of his complete plant, by making use of a graphic terminal connected to a computer. The system gives the engineer the powerful advantage over existing techniques that any part of the plant information, which may be required for a specific function, may be retrieved and presented to him in the form most suited to his requirements (i.e. lists of items or fully annotated drawings). P.D.M.S. incorporates advanced facilities to enable engineers to analyse the information for design accuracy and consistency. The project manager can ensure that no errors in the total design due to integration of disciplines within the project, or due to the amalgamation of the work of many designers, who possibly operate in different design centres. P.D.M.S., implemented on an IBM machine of the computer center of Clamart, is being used by the equipment Direction of EDF for the design of new power plants

[en] This book explains Auto CAD easily, which introduces improved function in Auto CAD R 13, such as direct import and export of 3 DS pile, revised render order structure, and explanations of assist, view Draw, construct and modify. Next it gives descriptions of Auto CAD conception, application and system. The last part deals with line, arc, circle, ellipse, erase, undo, redo, redraw, line type, multi line, limits, zoom, move, copy, rotate, array, mirror, grid, snap, units, offset and poly line.

[en] The growth of additive manufacturing as a disruptive technology poses nuclear proliferation concerns worthy of serious consideration. Additive manufacturing began in the early 1980s with technological advances in polymer manipulation, computer capabilities, and computer-aided design (CAD) modeling. It was originally limited to rapid prototyping; however, it eventually developed into a complete means of production that has slowly penetrated the consumer market. Today, additive manufacturing machines can produce complex and unique items in a vast array of materials including plastics, metals, and ceramics. These capabilities have democratized the manufacturing industry, allowing almost anyone to produce items as simple as cup holders or as complex as jet fuel nozzles. Additive manufacturing, or three-dimensional (3D) printing as it is commonly called, relies on CAD files created or shared by individuals with additive manufacturing machines to produce a 3D object from a digital model. This sharing of files means that a 3D object can be scanned or rendered as a CAD model in one country, and then downloaded and printed in another country, allowing items to be shared globally without physically crossing borders. The sharing of CAD files online has been a challenging task for the export controls regime to manage over the years, and additive manufacturing could make these transfers more common. In this sense, additive manufacturing is a disruptive technology not only within the manufacturing industry but also within the nuclear nonproliferation world. This paper provides an overview of additive manufacturing concerns of proliferation.

[en] Calculations of ventilation networks are necessary to elaborate the projects and to handle the gradual development of a ventilation network. The means which have been used up to the present to tackle these problems are the simulator and the computer, each with its own advantages and disadvantages. These means can be improved by considering the following needs of the user: short response time in the calculation of the state of a network; easy data input and presentation of the results (diagram, visual display); keeping records of the results. Cerchar has developed a program for the calculation of ventilation networks for use with a microcomputer psi 80 (Kontron) which has been constructed around a microprocessor Z 80. The data of the network to be calculated are entered by a keyboard and stored on a small disc; the data and the results can be displayed on a screen or produced as a print-out. This program is suitable for the calculation of networks composed of 400 branches and 300 nodes and comprising up to 9 different curves of characteristics as far as the mine fans are concerned. Cerchar investigates at present the visual display of a network on an interactive graphic terminal which, when perfected, will put at the disposal of the mine operators a tool for use by people other than data processing experts; this enables them to have permanently on the site their network for immediate access to consult it or make new calculations

No abstract available

[en] Advance Modeling for Next-Generation Accelerator Applications

[en] The Los Alamos Scientific Laboratory general-purpose lens design procedure optimizes specific lens prescriptions to obtain the smallest possible image spots and therefore near-spherical wave fronts of light converging on all images in the field of view. Optical image errors are analyzed in much the same way that they are measured on the optical bench. This lens design method is made possible by using the full capabilities of large electronic computers. First, the performance of the whole lens is sampled with many precisely traced skew rays. Next, lens performance is analyzed with spot diagrams generated by the many rays. Third, lens performance is optimized with a least squares system aimed at reducing all image errors to zero. This statistical approach to lens design uses skew rays and precisely measured ray deviations from ideal image points to achieve greater accuracy than was possible with the classical procedure, which is based on approximate expressions derived from simplified ray traces developed for pencil-and-paper calculations