Designing large scale automation and robotic systems using Solid Edge
By David Chadwick – Precision Robotics and Automation Ltd (PARI) is a leading developer of automation and robotic systems globally. Their customers in the automotive sector include established giants like Ford, Chrysler, PSA, Daimler-Benz, Tata Motors, Mahindra, and new significant players like VinFast. PARI designs, manufactures and installs complete, automated systems including multi-station lines for machining and assembly of powertrain components and assemblies.
PARI has been a major user of Solid Edge for 15 years with 160 licenses deployed at their headquarters near Pune in India. Typical automation solutions deployed by PARI incorporate a wide variety of robots, actuators and sensors and other mechatronic items. These systems can comprise over 25,000 unique components.
Mangesh Kale, Managing Director of PARI describes their design process. “If a six-axis robot is required for a specific application then we use robots from major suppliers like FANUC, ABB and Kuka, or other makes specified by the customer. We typically receive 3D models from these manufacturers and we integrate these into our automation system designs. However, many applications demand gantry type robots that we design and manufacture ourselves. In a typical solution, about 60% of the design is using standardized commodities of PARI. However, custom parts are typically 40% of the design. For example, the gripper sub-assembly for any material handling solution is typically a custom design. This design meets specific application needs to handle components at different stages in the machining or assembly process. The customization required for assembly processes is even higher. We find that Solid Edge is a very powerful and flexible solution for designing these sub-systems.” more>
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By Michael Strevens – Modern science has a whole lot going for it that Ancient Greek or Chinese science did not: advanced technologies for observation and measurement, fast and efﬁcient communication, and well-funded and dedicated institutions for research. It also has, many thinkers have supposed, a superior (if not always ﬂawlessly implemented) ideology, manifested in a concern for objectivity, openness to criticism, and a preference for regimented techniques for discovery, such as randomized, controlled experimentation. I want to add one more item to that list, the innovation that made modern science truly scientific: a certain, highly strategic irrationality.
‘Experiment is the sole judge of scientific “truth”,’ declared the physicist Richard Feynman in 1963. ‘All I’m concerned with is that the theory should predict the results of measurements,’ said Stephen Hawking in 1994. And dipping back a little further in time, we ﬁnd the 19th-century polymath John Herschel expressing the same thought: ‘To experience we refer, as the only ground of all physical enquiry.’ These are not just personal opinions or propaganda; the principle that only empirical evidence carries weight in scientific argument is widely enforced across the scientific disciplines by scholarly journals, the principal organs of scientific communication. Indeed, it is widely agreed, both in thought and in practice, that science’s exclusive focus on empirical evidence is its greatest strength.
et there is more than a whiff of dogmatism about this exclusivity. Feynman, Hawking, Herschel all insist on it: ‘the sole judge’; ‘all I’m concerned with’; ‘the only ground’. Are they, perhaps, protesting too much? What about other considerations widely considered relevant to assessing scientific hypotheses: theoretical elegance, unity, or even philosophical coherence? Except insofar as such qualities make themselves useful in the prediction and explanation of observable phenomena, they are ruled out of scientiﬁc debate, declared unpublishable. It is that unpublishability, that censorship, that makes scientific argument unreasonably narrow. It is what constitutes the irrationality of modern science – and yet also what accounts for its unprecedented success. more>
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