Technology Category
- Automation & Control - Electric Drives & Control
- Functional Applications - Warehouse Control Systems (WCS)
Applicable Industries
- Equipment & Machinery
- Mining
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Experimentation Automation
- Manufacturing Process Simulation
Services
- Testing & Certification
About The Customer
Elecon Engineering Co. Ltd, established in 1951 in India, is a pioneer in breakthrough innovations in the manufacture of material handling equipment, industrial geared motors and reducers, mining equipment, casting processes, alternate energy, and more. Elecon takes pride in being Asia’s largest Industrial gearbox manufacturer. The company has expertise in providing customized gearboxes for a variety of applications including steel mills, high-speed turbines, sugar mills, windmills, marine vessels for the Coast Guard and the Indian Navy, plastic extrusion, satellites, and antenna drives for the Indian Space program.
The Challenge
Elecon Engineering was faced with the challenge of developing a reliable gearbox that meets market demand. The complexity of gear mechanisms, which transmit rotation and torque between axes in a machine, presented numerous technological problems. To achieve high load-carrying capacity, reduce the weight of gear drives, and increase the strength of the gearbox, engineers had to carry out gear-tooth stress analysis and perform tooth modifications to optimize gear drive design. Performance parameters such as tooth bending, surface distress, and tooth deflection were contributing to gear tooth failure. The challenge was to evaluate gear tooth performance quickly, regardless of construction material and manufacturing processes.
The Solution
Elecon engineers used ANSYS® MechanicalTM to construct a 3-D model of the gear and pinion while maintaining the optimized profile of teeth. They applied local high mesh refinement at the contact region and calculated loads on the mating gears that act along the pressure line. These loads were then applied in ANSYS Mechanical. Engineers performed transient analysis to simulate the frictional motion of the gears. This approach allowed them to obtain accurate results along with extensive, customized reports of loads, stresses, deformation, and transmission (gearbox) errors. They were able to identify potential failure modes early in the product development cycle, predict gear misalignment and its source, and minimize misalignment across the load range. They also investigated the full scope of conditions to understand the effects of design parameters on product durability and performance, thus avoiding excessive prototype testing.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Robot Saves Money and Time for US Custom Molding Company
Injection Technology (Itech) is a custom molder for a variety of clients that require precision plastic parts for such products as electric meter covers, dental appliance cases and spools. With 95 employees operating 23 molding machines in a 30,000 square foot plant, Itech wanted to reduce man hours and increase efficiency.