Traceability enhancement for crown wheel and pinion in vehicle axle assembly
We are seeking cost-effective and reliable solutions that can correct pairing of the two parts, the crown wheel and drive pinion. It should be scalable across all part variants and seamlessly integrate into the existing production workflow.
commensurate
Reward money is paid in exchange of legally acquiring the solution, implementing it to solve the problem and meeting the success criteria. Milestones for paying the reward money would depend upon the complexity of challenge and maturity of the proposed solution, which would be discussed with the solver as soon as the proposed solution is selected by us.
25 Jan 2026
Challenge details:
Drive pinions and crown wheels for each automotive axle are manufactured as a pair and machined to achieve optimal and unique tooth form adjusted at the factory to work together, ensuring a precise fit and contact pattern, depth, width and spacing for that specific fit. It is thus necessary that each pair of crown wheel and pinion gears are marked so that the correct pair is assembled by the operator. To enable the operator to pick the correct pairing, currently, the ‘crown wheel and pinion wheel (pair)" are marked with the same code. and is done using acid marking. This marking however, gets smudged or erased or hidden which makes it difficult to identify the exact pairing. The parts are made of alloy steels and weighs approx. 7-19 kgs.
We are thus seeking cost-effective and reliable solutions that can correct pairing of the two parts, the crown wheel and drive pinion. It should be scalable across all part variants and seamlessly integrate into the existing production workflow (400 assemblies/day).
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Slag pots used in blast furnace operations are prone to crack formation due to extreme temperatures, thermal cycling, and mechanical stresses. Current manual inspection methods are subjective and may miss critical defects. The challenge is to develop an automated, non-contact solution to accurately detect, classify, and report cracks on slag pots in a high-temperature steel plant environment, enabling safer and more reliable operations.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Torpedo ladles used for hot metal transportation are currently secured using manually placed wooden scotch blocks, exposing operators to significant safety risks from moving equipment, high temperatures, and pinch points. The plant operates 51 torpedo ladles of varying sizes, with scotching requirements differing based on wheel position and track gradient.The challenge is to develop an automated, remotely operated scotching system integrated onto the torpedo ladle itself, capable of deploying and retracting scotch blocks without manual intervention. The solution must be self-powered, operate reliably in harsh steel plant conditions (up to ~250°C), withstand heat, dust, and sparks, be fail-safe during emergencies, and either use existing wooden scotch blocks or a suitable alternative material with equal or better performance. Modifications to existing equipment or infrastructure may be considered.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
Hot metal samples are manually collected from blast furnace runners three times per cast, exposing operators to molten metal, extreme heat, fumes, glare, and splash hazards. We seek autonomous or remote-operated solutions that can safely and reliably collect representative samples with equal or better consistency while operating in harsh runner conditions and eliminating human exposure.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
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Rewards proportional to the value add! Few solutions could be available! Efforts might be needed to customize the solution.
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Rewards proportional to your differentiated solution! More than one solution is expected to exist. Solution may be implemented without customization.
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