Free engineering tools purpose-built for New Product Development (NPD) teams. Every tool takes a Design for Reliability (DfR) stance with a Physics of Failure (PoF) perspective, using first-principles damage-accumulation and fatigue mathematical modeling — so reliability decisions happen at the design desk, not after the first field return. Drop your email once and get access to every tool as it ships.
Get access See what's availableThese tools are made for the New Product Development phase — the window where design decisions actually move the reliability needle. Every tool supports that same loop: model the physics, accumulate the damage, project the reliability, iterate the design.
The payoff from reliability work is largest when it lands before tooling freezes and production ramps. These tools are shaped for the NPD timeline: concept, architecture, prototype, and verification — fast enough to stay inside design iterations, rigorous enough to defend in a phase-gate review.
Reliability is built in at the design stage, not tested in at the end. Every tool fits into the design loop — so engineers can make informed geometry, duty-cycle, and material choices before prototypes go on test, and iterate cheaply when data comes back.
Failures are physical events — fatigue crack growth, wear, thermal degradation, lubricant breakdown. PoF models capture the underlying mechanism, so projections stay meaningful when loads, temperatures, or duty cycles change. No more purely empirical curves that break the moment field conditions shift.
Under the hood, each tool uses established damage-accumulation math — Miner's rule, S-N and ε-N curves, Paris-law crack growth, inverse-power-law and Arrhenius acceleration — to turn a messy real-world load spectrum into a defensible reliability number at design time.
The cost of fixing a reliability issue grows by roughly an order of magnitude at each gate. The ability to influence reliability through design choices drops just as fast. The NPD window is where both curves cross in your favor.
Changing a dimension, material, or duty-cycle assumption in a CAD model costs almost nothing.
Re-working a prototype build means new parts, rebuild hours, and re-entering the test queue.
Tooling changes, scrap, line stoppage, and qualification re-runs add up fast.
Warranty returns, recalls, brand damage, and regulatory exposure — the expensive end of the curve.
Two startups can enter the data room with the same revenue and the same base valuation — and leave with very different deal terms. Reliability evidence is the lever.
Each tool is free. Sign up with your email in the section below to reveal the download links.
Track, model, and project reliability growth across test-fix-test cycles.
Generate accelerated life-test profiles tailored to robot-joint duty cycles.
Apply a derating policy across your BOM and flag components that live too close to their ratings.
A desktop companion for the development-test phase of New Product Development. Fit growth models to your early failure data, overlay Physics-of-Failure insight about which failure modes are actually being fixed, and project how many more test hours you need to clear the reliability phase-gate.
Test-fix-test programs generate messy failure data: different failure modes, corrective actions layered on top of each other, grouped vs. event-time records, and a program manager asking "are we going to make target by the delivery date?" Hand calculation is tedious and spreadsheet templates are brittle. This tool does the fit, the projection, and the reporting in one place — and ties each failure event back to a Physics-of-Failure classification, so the growth curve reflects real mechanism changes rather than just bookkeeping.
NPD reliability engineers running development-test programs for new hardware — especially at the "we're one or two prototypes in" stage where you need to convince program management that reliability is on track without pretending you have more data than you do, and translate the curve into concrete design-change priorities before the next build.
For the verification phase of a new joint program. Turn expected or measured duty cycles into a lab-ready accelerated test profile — Miner's-rule damage accumulation and inverse-power-law acceleration compress years of field use into weeks of bench time while preserving the failure-mode signature, so the test still exercises the physics the next-gen design has to survive.
Robot joints — harmonic drives, RV reducers, rotary servos — don't see a single load in the field. They see a spectrum: high-torque pick-and-place, medium-torque transit, thermal soak at idle. Each bin of that spectrum accumulates damage differently (contact fatigue scales very nonlinearly with torque; grease life bends with temperature). If you test at worst-case you're pessimistic and waste budget; if you test at average you miss the failure modes that actually matter. The usual fix is hand-rolled spreadsheets that collapse the spectrum to a single equivalent load, and those spreadsheets are always slightly wrong. This tool does it right — using a Physics-of-Failure model of the joint and proper damage accumulation math across bins.
NPD reliability and test engineers who need a defensible accelerated test plan and a clean answer to "how many hours of bench testing equals five years of field life?" — at the phase where the design is being locked but the verification plan still has to fit inside a launch timeline. Particularly useful when you have log data from an early-generation joint and need to qualify the next generation.
A desktop tool that audits a bill of materials against a derating policy — NASA PPL-21, MIL-HDBK-217F, Telcordia SR-332, AIAA S-111, or your own internal spec. Walks every part, computes applied/rated stress ratios for voltage, current, power, and junction temperature, and tells you which components are Pass, Warn, or Over-limit before the design leaves the desk.
Derating is the quiet workhorse of NPD reliability: pick parts that sit comfortably below their datasheet limits and infant-mortality and wear-out both retreat. But in practice derating lives as a spreadsheet that somebody updates at review time, and only a few rails get checked — usually the ones that burned in the last program. This tool walks the whole BOM, applies a published (or internal) derating policy line-by-line, and flags the parts that are running hot, over-voltage, or over-current before a prototype is built. No more finding out in qual that the status LED is at 98% of I_F_max or that a 0.1 µF MLCC is sitting at 95% of rated V_rms.
NPD electrical and reliability engineers going into a schematic-complete or pre-layout review, especially on programs where the derating policy is non-negotiable (aerospace, medical, automotive) and there is no patience for a spreadsheet audit that only covers half the BOM. Equally useful as a lightweight in-house standard for consumer-electronics teams who want a defensible derating story without spinning up a full MIL-HDBK pipeline.
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