Kernel arquitecture for CAD/CAM in shipbuilding enviroments

The capabilities of complex software products such as CAD/CAM systems are strongly supported by basic information technologies related with data management, visualization, communication, geometry modeling and others related with the development process. These basic information technologies are involved in a continuous evolution process, but over recent years this evolution has been dramatic. The main reason for this has been that new hardware capabilities (including graphic cards) are available at very low cost, but also a contributing factor has been the evolution of the prices of basic software. To take advantage of these new features, the existing CAD/CAM systems must undergo a complete and drastic redesign. This process is complicated but strategic for the future evolution of a system. There are several examples in the market of how a bad decision has lead to a cul-de-sac (both technically and commercially). This paper describes what the authors consider are the basic architectural components of a kernel for a CAD/CAM system oriented to shipbuilding. The proposed solution is a combination of in-house developed frameworks together with commercial products that are accepted as standard components. The proportion of in-house frameworks within this combination of products is a key factor, especially when considering CAD/CAM systems oriented to shipbuilding. General-purpose CAD/CAM systems are mainly oriented to the mechanical CAD market. For this reason several basic products exist devoted to geometry modelling in this context. But these basic products are not well suited to deal with the very specific geometry modelling requirements of a CAD/CAM system oriented to shipbuilding. The complexity of the ship model, the different model requirements through its short and changing life cycle and the many different disciplines involved in the process are reasons for this inadequacy. Apart from these basic frameworks, specific shipbuilding frameworks are also required. This second layer is built over the basic technology components mentioned above. This paper describes in detail the technological frameworks which have been used to develop the latest FORAN version.Postprint (published version

System benchmark of CAD-CAM in the area of tool making

In the following thesis a benchmark for CAD/CAM systems in the area of tool making is explained. This benchmark is adapted to the specific requirements existing in a hot-forging company located in the region of Styria (Austria). The mid-sized company demands an improvement of the current software situation to enhance the efficiency of the CAD/CAM processes and its landscape towards future digitalization processes. Due to the broad spectrum of CAD/CAM software systems existing in today’s market, it might be challenging to choose one software system that really fits to the requirements. In order to solve this situation, a benchmark is done. Out of this benchmark, two CAD/CAM software systems were considered as future potential alternatives based on the requirements existing at the company. Then, a decision-making procedure made of five different scenarios and based on certain criteria is proposed. These five different scenarios are the combination of the current software systems existing at the Styrian forging company and the alternative software systems.<br /

Requirements analysis in the implementation of integrated PLM, ERP and CAD systems

Product Lifecycle Management (PLM) system implementation is a major investment when the technology is used in manufacturing companies. This paper provides an analysis of the requirements for the integration of PLM systems with Enterprise Resource Planning (ERP) systems incorporating the design aspects of Computer Aided Design and Manufacturing (CAD/CAM) within the product development process. PLM implementation deals with various existing product data and information generated over years both from CAD and ERP systems. Data integration is very challenging and has important impact on future decisions while creating new processes. The information management plays very important role not only in PLM implementation but also in the way this will be used in future production. Therefore it is very important to analyse how product information is transferred to PLM system. It also need to be investigated that what, when and how the data will flow from and to PLM systems

Redesign of the Cam Dynamics Test Machine

The Cam Dynamics Test Machine (CDTM) was made to demonstrate cam operation and to test the dynamics of industrial cam-follower systems. Recent modifications made it inoperable in a classroom setting and revealed damage-causing flaws in the initial design. This project encompassed the redesign of the follower trains to eliminate those flaws. It also made the machine function in a classroom, improved the electrical wiring, and added storage space. Finally, the sensors were connected to a data acquisition board, and a Virtual Instrument was written to interpret their output voltages to aid future experimentation

Global communication part 1: the use of apparel CAD technology

Trends needed for improved communication systems, through the development of future computer-aided design technology (CAD) applications, is a theme that has received attention due to its perceived benefits in improving global supply chain efficiencies. This article discusses the developments of both 2D and 3D computer-aided design capabilities, found within global fashion supply chain relationships and environments. Major characteristics identified within the data suggest that CAD/CAM technology appears to be improving; however, evidence also suggest a plateau effect, which is accrediting forced profits towards information technology manufactures, and arguably compromising the industry's competitive advantage. Nevertheless, 2D CAD increases communication speed; whereas 3D human interaction technology is seen to be evolving slowly and questionably with limited success. The article discusses the findings and also presents the issues regarding human interaction; technology education; and individual communication enhancements using technology processes. These are still prevalent topics for the future developments of global strategy and cultural communication amalgamation

CAD/CAM education in dental medicine courses of Portugal and Spain

Aim: to analyse how CAD/CAM technology is included in the dental education curricula of dental schools in Portugal and Spain. Methods: a survey was distributed by e-mail to all Professors of Prosthodontics in Higher Education Institutions of Dental Medicine in the Iberian Peninsula. Response rate was 48% (total: 12 institutions). Results: CAD/CAM technology is covered in the training of future Dentists in the Iberian Peninsula, although at a reduced level. Most of students have access to CAD/CAM systems, within the Institution. However, in Portugal it is used only in specific situations, while in Spain it is used more routinely. The most common CAD/CAM materials used in Portugal are lithium disilicate, zirconia and metals. In Spain, it is also used alumina, leucite, feldspathic ceramics and composites for indirect restorations. Although CAD/CAM technology is taught in different graduation levels in Dentistry, it is considered that Portuguese and Spanish graduation level students are not able to use it without additional training. In a post-graduation level, there is a difference between students in both countries.info:eu-repo/semantics/publishedVersio

THE COMMUNITY LEVERAGED UNIFIED ENSEMBLE (CLUE) IN THE 2016 NOAA/HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT

One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weather Testbed, is documenting performance characteristics of experimental, convection-allowing modeling systems (CAMs). Since 2007, the number of CAMs (including CAM ensembles) examined in the SFEs has increased dramatically, peaking at six different CAM ensembles in 2015. Meanwhile, major advances have been made in creating, importing, processing, verifying, and developing tools for analyzing and visualizing these large and complex datasets. However, progress toward identifying optimal CAM ensemble configurations has been inhibited because the different CAM systems have been independently designed, making it difficult to attribute differences in performance characteristics. Thus, for the 2016 SFE, a much more coordinated effort among many collaborators was made by agreeing on a set of model specifications (e.g., model version, grid spacing, domain size, and physics) so that the simulations contributed by each collaborator could be combined to form one large, carefully designed ensemble known as the Community Leveraged Unified Ensemble (CLUE). The 2016 CLUE was composed of 65 members contributed by five research institutions and represents an unprecedented effort to enable an evidence-driven decision process to help guide NOAA’s operational modeling efforts. Eight unique experiments were designed within the CLUE framework to examine issues directly relevant to the design of NOAA’s future operational CAM-based ensembles. This article will highlight the CLUE design and present results from one of the experiments examining the impact of single versus multicore CAM ensemble configurations

THE COMMUNITY LEVERAGED UNIFIED ENSEMBLE (CLUE) IN THE 2016 NOAA/HAZARDOUS WEATHER TESTBED SPRING FORECASTING EXPERIMENT

One primary goal of annual Spring Forecasting Experiments (SFEs), which are coorganized by NOAA’s National Severe Storms Laboratory and Storm Prediction Center and conducted in the National Oceanic and Atmospheric Administration’s (NOAA) Hazardous Weather Testbed, is documenting performance characteristics of experimental, convection-allowing modeling systems (CAMs). Since 2007, the number of CAMs (including CAM ensembles) examined in the SFEs has increased dramatically, peaking at six different CAM ensembles in 2015. Meanwhile, major advances have been made in creating, importing, processing, verifying, and developing tools for analyzing and visualizing these large and complex datasets. However, progress toward identifying optimal CAM ensemble configurations has been inhibited because the different CAM systems have been independently designed, making it difficult to attribute differences in performance characteristics. Thus, for the 2016 SFE, a much more coordinated effort among many collaborators was made by agreeing on a set of model specifications (e.g., model version, grid spacing, domain size, and physics) so that the simulations contributed by each collaborator could be combined to form one large, carefully designed ensemble known as the Community Leveraged Unified Ensemble (CLUE). The 2016 CLUE was composed of 65 members contributed by five research institutions and represents an unprecedented effort to enable an evidence-driven decision process to help guide NOAA’s operational modeling efforts. Eight unique experiments were designed within the CLUE framework to examine issues directly relevant to the design of NOAA’s future operational CAM-based ensembles. This article will highlight the CLUE design and present results from one of the experiments examining the impact of single versus multicore CAM ensemble configurations

AI for autonomous CAM execution

This paper combines a previously developed Intelligent Classification Systems (ICS) for collision risk prediction witha simple Collision Avoidance Manoeuvre (CAM) allocation procedure. The Intelligent Classification System is basedon a combination of Evidence Theory for collision risk assessment and a Machine Learning model that classifiesconjunction events given the encounter geometry, the uncertainty in the probability of collision and the time at whichthe conjunction event occurs.We introduce a quick method to compute a Collision Avoidance Manoeuvre when the Intelligent Classification Systemsuggests that a CAM is needed. The method presented in this paper accounts for epistemic uncertainty in the collisionprediction. The inclusion of the epistemic uncertainty requires solving a min-max problem to find the optimal impulsefor the worst-case scenario. Finally, the paper introduces the basis for a future ML-based system able to predict theoptimal CAM under epistemic uncertainty