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.
Engineers are taught to create designs that meet customer specifications. When creating these designs, the focus is usually on the nominal values rather than variation. Robustness refers to creating designs that are insensitive to variability in the inputs. Much of the literature on robustness is dedicated to experimental techniques, particularly Taguchi techniques, which advocate using experiments with replications to estimate variation. This course presents mathematical formulas based on derivatives to determine system variation based on input variation and knowledge of the engineering function.
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!
Design of Experiments (DOE) is a methodology that can be effective for general problem-solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include identifying proper design dimensions and tolerances, achieving robust designs, generating predictive math models that describe physical system behavior, and determining ideal manufacturing settings. This seminar utilizes hands-on activities to help you learn the criteria for running a DOE, the requirements and pre-work necessary prior to DOE execution, and how to select the appropriate designed experiment type to run.
Problems arise in all facets of life. This is particularly true in the business world. Problems impact all aspects of an organization’s operations such as; product development, product quality, process efficiency, marketing efforts, human relations, leadership efforts, financial execution and ultimate profitability. If these problems are not addressed, they inhibit the operation of the business and can eventually result in total failure. The ways in which problems are addressed, and the methodologies employed, determine the probability of successful problem resolution.
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).
This course introduces functional gaging design and covers how to verify part dimensional requirements using functional gages and other measurement methods. Utilizing the expertise of world-renowned GD&T expert Alex Krulikowski, this course offers an explanation of metrology, the roles of the metrologist and inspector, measurement uncertainty, inspection tools, functional gages, inspection planning and reporting, and simulating datums. Newly acquired learning is reinforced throughout the class with numerous practice problems.