This landscape reveals what Atlas Copco is actively researching on recently. It organizes signals from patents into clusters of real scientific and technical questions being explored, showing where Atlas Copco is repeatedly investing effort, building knowledge, and reducing uncertainty. The result is a forward-looking view of strategic intent , often visible months or years before it appears in products, partnerships, or financial disclosures of Atlas Copco.
Surface irregularities and material defects create high scrap rates during precision manufacturing. This system stabilizes quality control by synchronizing structured illumination and multi-angle imaging to identify sub-millimeter topographical patterns.
Unstable ion confinement and signal noise during mass spectrometry lead to inaccurate chemical identification and measurement drift. This cluster stabilizes the electromagnetic field and gas-phase ionization to ensure precise particle separation and detection sensitivity.
Mechanical instability and footprint constraints during transport increase deployment costs for mobile power systems. Engineering the hinge articulation and rod connectivity ensures structural integrity and precise spatial configuration of foldable photovoltaic arrays.
Structural integrity and balance are compromised by multi-part assembly in screw compressors, leading to mechanical failure and high finishing costs. This engineering approach utilizes integral core casting to control internal cavity topology and eliminate assembly interfaces.
Thermal instability and electrical interference in high-density power electronics lead to component failure and energy loss. This architecture mitigates these risks through independent cooling chambers and integrated busbar-capacitor mounting to stabilize power flow.
Undetected gas leaks and blockages in complex piping systems lead to significant energy waste and equipment downtime. This technology utilizes mathematical models and sensor data to quantify flow deviations and stabilize pressure across vacuum and throttle valve networks.
Electromechanical degradation in valves leads to unpredictable downtime and pneumatic system failure. Monitoring the time derivative of coil current waveforms enables predictive maintenance by detecting subtle shifts in solenoid health before failure occurs.