Process Modeling & Simulation
The Center provides hands-on expertise in applying process modeling and simulation for design of new processes or evaluating existing processes.
Process simulation and modeling is an increasingly more popular application becoming widely used across many industries and settings. Its utility stems from its ability to examine variables and parameters related to effective commercialization and process performance and make improvements or predictions based upon those variables. With economics, efficiency, and even regulation driving both current and proposed systems alike to consider variables that were not of previous concern. As those factors become larger and larger factors for all sizes of companies, these companies are turning to those who can best provide the knowledge and expertise to design, test, and implement simulation and modeling.
Design: Innovate your concept
CAMP's design process draws from many of its resources to provide its clients with innovation, creation, and even imagination. Pulling in experts related to specific industries, drawing on modelers with over 20 years of experience, and taking advantage of the creativity and ingenuity that only a strong relationship between CAMP and one of our nations' premier enigneering schools - Montana Tech of the University of Montana can provide.
Test: Adjust your concept
A critical component in any project is determining how your concept performs under a variety of test conditions and applications. CAMP offers the expertise to perform the necessary testing and analysis to determine the critical parameters affecting your design. With these parameters you and your company can better understand and work with CAMP's knowledgeable staff to optimize the design.
Implement: Build your concept
CAMP can take your design from vision to reality. Our experts have years of experience in helping clients realize their concepts. Our approach aims to actively engage the cleint in all proess steps. That is especially true in the vital stage of building and commissioning your concept. Adjustments and re-evaluation are hurdles that will come up in any project but CAMP offers the knowledge and expertise to overcome these hurdles.
CAMP utilizes a variety of tools and applications in order to optimize its projects and ensure quality meaningful results. The following are just a few examples of the tools we use:
Whether you are designing a new product or process, or improving your current one, Stat-Ease makes it easy with statistical design of experiments (DOE) software. Use Design-Expert® or Design-Ease® software to save money, save time, and increase quality. Design-Ease offers multilevel factorial screening designs to help you find the critical factors that lead to breakthrough improvements. Trade up to Design-Expert for more in-depth exploration and make use of response surface methods to optimize your process or mixture. Display optimum performance with colorful 3D plots. Design-Expert is a comprehensive DOE tool with all of the features of Design-Ease and more.
Reach the peak of performance with your process or formulation. Design-Expert includes all of the features of Design-Ease, plus provides in-depth analysis of process factors or mixture components. Combine mixture and process variables in your designs. Design-Expert offers rotatable 3D plots to help you visualize your response surface. Explore the 2D contours with your mouse, setting flags along the way to identify coordinates and predict responses. The sweet spot where all your requirements are met can be found via the program's numerical optimization function, which finds the most desirable factor settings for multiple responses simultaneously.
Identify the breakthrough factors for process or product improvement. Design-Ease software helps you set up and analyze general factorial, two-level factorial, fractional factorial (up to 31 variables) and Plackett-Burman designs (up to 31 variables). With these designs you can quickly screen for critical factors and their interactions. You can also do numerical optimization.*