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![]() Mechatronics Propels OEMS to Success Modeling and simulation tools do everything from optimizing component choice to troubleshooting problems.
By: Kristin Lewotsky, Contributing Editor
Had the design team applied mechatronic principles to the project, such problems would have been averted. Mechatronics is a design approach based on cross-disciplinary input, often executed with modeling and simulation techniques to rapidly deliver more effective designs (see figure 1). In the example above, the controls engineers might have easily been able to point out the problems with high-inertial components. Simulations would have revealed ringing and overshoot, allowing the team to suggest and model solutions. The answer might have been as easy as switching to a light weighted aluminum fixture. This is a fairly simple example but mechatronics provides a powerful tool for tackling even highly complex challenges. A typical mechatronic design flow involves first developing the model in 3-D CAD software. Users can then import mechanical data into a system-level simulation involving a combination of electrical, mechanical, and control behavior to assess performance of the integrated system. “We like to say that our simulation model becomes an executable specification because you’re representing the operating characteristics of the system in a simulation environment,” says Tony Lennon, industrial automation and machinery industry manager at Mathworks (Natick, Massachusetts). “The model represents the written requirements and lets everyone see the system interactions and performance with much less ambiguity.” In many mechatronics software suites, simulation is just the start. Packages can provide motion profiles that can be applied to calculate the torque required for each axis, which can be used in turn to size the motor and drive. Even better, the software allows teams to rapidly assess a number of different mechanical designs, identifying the weak points. Engineers can explore detailed models, complete with performance projections and analysis, before anything is ever built. Some packages can even generate and test control logic to provide tuning parameters for the components upfront. This gives the design team a very clear understanding of how the system will perform once fabricated. Analysis can be used to quantify the safety factors on different parts, for example. If designers know in advance that one part has a safety factor of 20 and another only had a safety factor of 1.3, for example, they can modify the design to reduce the safety factor of the over-engineered part and increase the safety factor on the other. It’s a level of insight that would not be possible with a physical prototype, short of running cyclic fatigue failure analysis to determine mean time before failure for various parts, which can get complicated, expensive, and time consuming.
Faster, better solutions Contech Inc., which specializes in converting equipment, produces only one or two of each model. With so little room for failure, the company uses mechatronic techniques to ensure that there will be no surprises (see figure 2). Thanks to today’s sophisticated mechatronic software suites, there aren’t. “In the old days, it was [2-D CAD] and an Excel spreadsheet, and we had maybe six or eight motors and three or four drives to choose from,” says Gary Wolfe, mechanical engineer at Contech. “Now, we can go from a napkin sketch that the sales guys dream up to a machine in six months or less. It’s amazing—and yet, we couldn’t function any other way. If we tried to go back to the old ways, I could see our costs doubling.” Robotic Technologies of Tennessee (RTT; Cookeville, Tennessee) develops industrial products like small mobile welding platforms that can climb metal surfaces such as steel storage tanks to make repairs while controlled by an operator on the ground. As a small company, the firm leverages mechatronics to quickly develop prototypes with minimal resources. “It would be inconceivable that we would try to design something without a full integrated mechatronic simulation,” says Stephen Canfield, a principal at RTT. “We have a very short lead between the time we commit to a project, so we have to a have a design that’s very close to what they expect to see onsite.” Canfield is also a professor of Mechanical Engineering at Tennessee Technological University, which offers a concentration in mechatronics to technology students the integrated approach from the very beginning.
Finding and fixing problems
Mechatronic tools can also provide answers to complex questions. For RTT, the magnetic tracks of the welding vehicles, for example, generate a significant magnetic field, while arc welders generate fields of their own. There’s a very strong interaction between the two; to complicate matters further, the pattern is not static—the tracks are moving any time the robot is in motion. The challenge was finding a way to evaluate that interaction. Measuring the field with a gauss meter seems like an obvious solution but it can only might show the field on the surface of the steel, not how it has penetrated the material. To fully assess the problem and seek out a solution, the RTT engineering team performed modeling and simulation using mechatronic techniques. “You can try testing and you can do some empirical studies but I cannot conceive any way that you could get to where we got without mechatronics,” says Canfield. “Mechatronic design allowed us to not only solve the problem but we also to use those models to convince our client that we could really take care of it.” Welding with a mini unmanned vehicle presented a number of challenges. Position and speed of translation of the welding torch are critical to the quality of the final weld, which becomes even more difficult when the unit is in motion. The design uses chain-driven magnetic tracks. Because chains inherently have a variable pitch radius, that means that for a constant rotational speed of the motor, the speed of the platform is not constant at all, which is unacceptable in a weld process. The question was how best should the team compensate for this behavior—through controls? Through the mechanical system? “We were actually able to find a happy medium by tuning our suspension drive to add just enough compliance to allow the system to accommodate that pitch, combined with the tightness of our control algorithm looking at the travel speed of the robot,” says Canfield.
The shift to a mechatronic approach requires a culture change. For some companies in some industries, that may be a challenge. Learning the new techniques can take time that organizations don’t think they have. They need to think again. For a number of years, machine builders have been responding to market requirements by getting a performance boost from swapping out pneumatics and fixed-speed motors for motion control. As end-users demand ever faster and more configurable products, the operational flexibility delivered by electronic shafting is not enough. Machine builders need design flexibility and they need to deliver systems able to perform at the highest levels, all within punishingly short design cycles and with rock-bottom budgets. Given all of these conflicting requirements, the question becomes not whether a company can afford to invest the time and learning mechatronics approaches to machine design, but rather whether they can afford not to. ““It’s done on a budget that’s basically astounding,” Wolfe says. “A $5000 seat of 3-D CAD software and a motion analyzer package allows a company to be lean and mean and compete with an engineering firm that has hundreds of thousands of dollars’ worth of software and tools. If you want to be competitive, I don’t see how you can not use this stuff.”
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