RETROFITS
BLACKSTONE
er choice in the retrofit journey Revamps & upgrades: ■ Provide quantifiable improvements in efficiency, mechanical reliability, and fatigue life. Debottlenecking: ■ Utilizes modern simulation to establish predictable performance limits and operational guardrails. Operational alignment: ■ Ensures new equipment and components are precisely aligned to meet updated operating conditions. By selecting their desired pathway, customers leverage the Parts Liberty system to align engineering rigor with their specific performance and business objectives.
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Process framework: From legacy to liberty with predictability built in PHASE 1: FEASIBILITY: Establishing predictable technical boundaries Predictive Feasibility ensures informed business decisions by converting design uncertainty into forecastable possibilities through five key steps:
■ Review historical data: Utilizes past inspection/repair data to highlight lifecycle timelines and areas of concern. ■ Collaborate on assumptions: Validates all design inputs and assumptions with end-users. ■ Model baseline performance: Establishes realistic and quantified expectations through initial modeling. ■ Identify constraints: Defines fixed versus flexible constraints to enable predictable design envelopes. ■ M odel scenarios: Covers all feasible versus non-feasible upgrade options through scenario modeling. This phase converts uncertainty into forecastable engineering possibilities, enabling informed business decisions. PHASE 2: VALIDATION: Engineering assurance through advanced modelling 2.1 Digital capture and predictable geometry control Metrology establishes the precise “asfound” geometry of legacy components and associated housings, eliminating the guesswork inherent in manual measurement. This foundational data ensures predictable fitup, accurate machining tolerances, and a clearly defined manufacturing scope, all governed by rigorous quality control. 2.2 Simulation-based predictability Advanced modeling
Blackstone can re-engineer rare or obsolete components and manufacture them.
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tools provide high-confidence forecasts of component behavior, allowing for virtual validation before production begins: ■ C FD (Computational Fluid Dynamics): Simulates the complex interaction between the process media (fluids or gases) and rotating components such as impellers, rotors, and blades - to maximize hydraulic efficiency and eliminate performance losses. ■ F EM (Finite Element Method): Predicts precise stress profiles and fatigue life under operational loads, ensuring structural integrity and the application of appropriate safety factors. ■ Modal and rotordynamic analysis: Forecasts operational stability by identifying natural frequencies and vibration characteristics (amplitudes and frequencies), ensuring the equipment operates safely away from critical speeds. ■ D ynamic System Analysis (DSA): Predicts network-level transient behavior, providing insight into how equipment responds to fluctuating system conditions or emergency shutdowns. By integrating these analyses, legacy equipment is transformed into a high-fidelity Digital Model, enabling predictive engineering and performance optimization long before a single component is manufactured. PHASE 3: ENGINEERING: Replace-in-kind vs. revamp with predictable outcomes Predictability through structured engineering ■ I n RIK designs, predictability ensures exact dimensional, material, and performance equivalence while guaranteeing seamless integration and zero negative impact on the existing system. ■ In Revamp designs, predictability guarantees targeted performance gains and reliability improvements through controlled upgrades that utilize proven solution suite(s) to meet specific safety, environmental, and operational requirements By implementing repeatable modeling JANUARY 2026 | COMPRESSORTECH2 | 35
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