Silicone rubber is comprised of inorganic-organic polymers. These materials consist of an inorganic backbone with organic side groups attached to silicon atoms. This family of polymers possesses unmatched versatility giving the formulator and user multiple forms and methods to cross link the polymers into rubber materials having the widest service temperature range of any rubber material. This course is designed to provide the participant with a thorough understanding of silicone’s engineering characteristics.
Rubber – a loosely cross-linked network of polymer chains that when strained to high levels will forcibly return to at or near it original dimensions. This course is designed to provide the participant with a thorough understanding of rubber’s engineering characteristics. This class will introduce the various sources of rubber, both natural and synthetic. The class will contrast the differences between rubber and plastics; including thermoplastic rubber. Detailed discussions on how to select the correct rubber polymer for the application, highlighting the pros and cons of each major rubber type.
Design for Manufacturing and Assembly (DFM+A), pioneered by Boothroyd and Dewhurst, has been used by many companies around the world to develop creative product designs that use optimal manufacturing and assembly processes. Correctly applied, DFM+A analysis leads to significant reductions in production cost, without compromising product time-to-market goals, functionality, quality, serviceability, or other attributes. In this two-day seminar, you will not only learn the Boothroyd Dewhurst Method, you will actually apply it to your own product design!
In the Aerospace Industry there is a growing focus on Defect Prevention to ensure that quality goals are met. Process Failure Mode & Effects Analysis (PFMEA) and Control Plan activities described in AS13004 are recognized as being one of the most effective, on the journey to Zero Defects. This two-day course is designed to explain the core tools of Process Flow Diagrams, Process Failure Mode & Effects Analysis (PFMEA) and Control Plans as described in AS13004. It will show the links to other quality tools such as Design FMEA, Characteristics Matrix and Measurement Systems Analysis (MSA).
Production and continual improvement of safe and reliable products is key in the aviation, space and defense industries. Customer and regulatory requirements must not only be met, but they are typically expected to exceeded requirements. Due to globalization, the supply chain of this industry has been expanded to countries which were not part of it in the past and has complicated the achievement of requirements compliance and customer satisfaction. The IAQG has established and deployed the AS9145 Standard, as a step to help achieve these objectives.
Why is a design for manufacturing, assembly and automation so important? This introductory course on airframe engineering will cover the importance of design for manufacturing, assembly and automation in aerospace. It will review what the key drivers are for a “good” design and some of the key points for manufacturing and assembly of aircraft components. It will look at how an engineer can combine traditional technologies with new, cutting-edge technologies, to determine the best scenario for success.
The front end structure is an important role in protecting the vehicle and passengers from harm during the collision. Increasing its protective capacity can be achieved by increasing the thickness or replacing high-strength materials. Most of the current research is analyzed separately from these two aspects. This paper proposes a multi-objective optimization method based on agent model, which combines material and thickness selection. First, the optimized components are determined based on the 100% frontal collision simulation results. Secondly, six thicknesses and four materials of the front part of the vehicle body are selected as design variables to construct a material-structure integrated multi-objective optimization model.
The most common use of tension energy absorption is found in personal fall arrest systems, however, there exist a plethora of possible applications in the automotive field for both vehicular and roadside safety hardware. During a fall, cables attached to a safety harness must not exceed a maximum arresting force over an arresting extension. The main disadvantage of the current state of the art for fall arrest is that energy dissipation is a result of tearing and failure of fabric materials which causes erratic and fluctuating loads. Axial cutting; a novel energy dissipation mechanism developed by researchers at the University of Windsor, has been shown to minimize load fluctuations while maintaining a stable load. Its capabilities have been explored in compression, but no studies have been conducted in tension. A set of test specimens were chosen for this purpose based on predictions from analytical models.
This paper presents an approach for performing software in the loop testing of autonomous vehicle software developed in the Autoware.IO framework. Multitudes of autonomous driving frameworks exist today, each having its own pros and cons. Often, MATLAB-Simulink is used for rapid prototyping, system modeling and testing, specifically for the lower-level vehicle dynamics and powertrain control features. For the autonomous software, the Robotic Operating System (ROS) is more commonly used for integrating distributed software components so that they can easily share information through a publish and subscribe paradigm. Thorough testing and evaluation of such complex, distributed software, implemented on a physical vehicle poses significant challenges in terms of safety, time, and cost, especially when considering rare edge cases. Virtual prototyping is therefore a crucial enabler in the development of autonomous software.
The Indian economy is developing at good pace, hence sign of significant growth can be seen in transportation industry. The transportation industry comprises of two main verticals, one is goods transportation & other is public transportation. As India is country with dense traffic conditions, the driving is very fatiguing affair. The studies have shown that the driving efficiency has a significant effect on operating economy. The current paper work focuses on the improvement in ergonomic improvements in the driver station of a bus which is used as mode of transportation for public. In India the buses are deployed for school, staff, city & intercity application. All these application are exposed to different driving conditions. In the available literature of driver comforts major focus given to truck application. The present study focuses on bus application in Indian traffic conditions.
Geometry Tree is a term describing the product assembly structure and the manufacturing process for the product. The concept refers to the assembly structure of the final vehicle (the Part Tree) and the assembly process and tools for the final product (the Process Tree). In the past few years, the Geometry Tree-based quality process was piloted in the FCA NAFTA region and has since evolved into a standardized quality control process. In the Part Tree process, the coordinated measurements and naming convention are enforced throughout the different levels of product sub-assemblies and measurement processes. The Process Tree, on the other hand, includes both prominently identified assembly tools and the mapping of key product characteristics to key assembly tools. The benefits of directly tying critical customer characteristics to actual machine components that have a high propensity to influence them is both preventive and reactive.
A methodology for an efficient failure prediction of automotive steel wheels during fatigue experimental tests is proposed. The strategy joins the CDTire® simulative package effectiveness to a specific wheel finite element model in order to deeply monitor the stress distribution among the component to predict damage. The numerical model acts as a Software-in-the-loop and it is calibrated with experimental data. The developed tool, called VirtualWheel®, can be applied for the optimisation of design reducing prototyping and experimental test costs in the development phase. In the first section, the failure criterion is selected. In the second one, the conversion of hardware test-rig into virtual model is described in detail by focusing on critical aspects of finite element modelling. In conclusion, failure prediction is compared with experimental test results.
The work presented in this paper is based on the senior capstone class project undertaken by the student authors at Kettering University. The main aim of the project was to design an automated bed clearing mechanism for the Anet brand A8 3-D printer. The concept behind the idea was to allow everyone with this brand of printer to be able to print multiple prints without human interaction. The idea started out as a universal bed clearing mechanism, for most brands of 3-D printers. Upon researching into the many different styles and designs of printers, it was apparent that the designs differ too much from each other in order to create a universal product. The student team decided to aim for the most common style of 3-D printer, which the team also had a model to test the design. Due to the size of our team (number of members), they were split in to two sub-teams in order to explore two separate designs and develop the design and testing on both of the designs.
As a key technology to autonomous vehicles, high precise positioning is essential for automated container terminals to implement intelligent dispatching and to improve container transport efficiency. In view of the unstable performance of global positioning system (GPS) in some circumstances, an ultra wide band (UWB) positioning system is developed for autonomous trucks in an automated container terminal. In this paper, an asynchronous structure is adopted in the system and a three-dimension (3D) localization method is proposed. Other than a traditional UWB positioning system with a server, in this asynchronous system, positions are calculated in vehicle. Therefore, propagation delays from the server to vehicles are eliminated and real-time performance of the system can be significantly improved. Traditional 3D localization methods based on TDOA are mostly invalid with anchors in the same plane.