Problem Statements
Explore the problem statements from Sakthi's diverse industrial sectors and choose the one that inspires you. Build innovative solutions for a better tomorrow.
Problem Statements (4 Found)
Smart Detection and Monitoring of Hydraulic, Coolant and Oil Leakage
Hydraulic oil, coolant and other fluid leakages or scrap-related spillage around machines can create safety, housekeeping, environmental and maintenance concerns. Leakages may remain unnoticed until they become visually significant. The challenge is to develop an early-detection and monitoring system that identifies leakage/spillage, indicates the affected location and supports timely corrective action.
Smart Routing and Condition Monitoring for Electrical Cables and Pneumatic Lines
Improper routing of electrical cables and pneumatic air lines around machines can create safety, maintenance, accessibility and reliability concerns. Lines may become tangled, exposed to damage or interfere with movement and housekeeping. The challenge is to design a standardized smart routing solution that organizes and protects cables and air lines while enabling easy inspection and identification of abnormal routing or damage.
Predictive Tool-Life Monitoring and Optimization System
Cutting tools do not always achieve their expected life, leading to premature replacement, unplanned tool failure, quality variation and increased tooling cost. Fixed tool-change rules may not account for actual cutting conditions. The challenge is to develop a data-driven tool-life monitoring system that uses machining parameters and tool-condition signals to estimate remaining useful life and recommend an appropriate replacement point.
Smart Monitoring and Predictive Alert for DISA Machine Card Adjustment
DISA machine card adjustment is disturbed frequently, requiring repeated intervention and potentially affecting machine stability, moulding consistency and production availability. The challenge is to identify the operating conditions that lead to card-adjustment disturbance and develop a monitoring and predictive-alert system that detects abnormal deviation early and supports timely corrective action.