Overcoming inertia in additive manufacturing

Key Takeaways

• Additive manufacturing (AM) still battles industry inertia despite clear advantages such as design freedom and shorter supply chains.
• Plastometrex’s Profilometry‑Based Indentation Plastometry (PIP) test bridges the gap between rapid hardness‑type probing and full‑scale tensile testing.
• The PIP workflow delivers tensile‑strength data in ≤ 2 minutes with ±5 % accuracy, far faster than conventional tensile tests (4–6 hours).
• Portable Plastometrex units (≈30 kg, 8 h battery) enable on‑site steel‑grade verification for oil‑&‑gas pipelines, cutting inspection downtime by up to 70 %.

Why Inertia Holds Back Additive Manufacturing

Additive manufacturing gained early traction in prototyping because its ability to iterate quickly matched the trial‑and‑error mindset of design teams. Full‑scale production, however, is risk‑averse: engineers favour proven, “good‑enough” processes that have delivered reliable parts for decades. Even when AM promises tangible gains—up to 30 % weight reduction, tooling‑cost savings of $10–$50 k per batch, and supply‑chain lead‑time cuts of 40 %—the perceived cost of change often outweighs the benefits. This resistance to change is not unique to AM; any disruptive technology must first overcome the entrenched habits of a mature industry.

“You can have great confidence in the technology, but you still need people to come on the journey with you,” says Jimmy Campbell, CTO and co‑founder of Plastometrex, a specialist in non‑destructive metal‑testing equipment.

Campbell’s background as a PhD researcher at the University of Cambridge gave rise to the Profilometry‑Based Indentation Plastometry (PIP) test—a hybrid that fuses a simple indentation with high‑fidelity finite‑element (FE) modeling.

Plastometrex’s PIP Test: How It Works

1. Physical Indentation

• A calibrated indenter applies a controlled load (typically 10 kgf) to the metal surface, creating a measurable impression.
• The resulting surface profile is captured with a laser‑scanning microscope at 0.1 µm vertical resolution.

2. Virtual Replication

• Simultaneously, an FE model reproduces the same load‑indent scenario.
• Material parameters—yield strength, work‑hardening exponent, and elastic modulus—are entered as adjustable inputs.

3. Iterative Matching

• The software iteratively tweaks the FE parameters until the simulated indent shape aligns with the measured profile within a tolerance of 0.5 % (practically indistinguishable).
• The converged parameters are reported as the material’s yield strength and tensile strength.

4. Result Delivery

• Full tensile‑strength data are output in ≤ 2 minutes.
• Accuracy is typically ±5 % compared with a conventional tensile test, which requires specimen machining and a 4–6 hour test cycle.

From Lab to Field: Product Variants

The Field Unit was first adopted by major oil‑&‑gas operators to verify steel grades in buried pipelines without extracting samples. By eliminating the need for destructive testing, companies reported a 70 % reduction in inspection downtime and a 30 % cut in overall inspection cost.

Overcoming the AM Adoption Barrier

Plastometrex’s approach demonstrates a practical pathway for AM‑related technologies to gain traction: combine a familiar, low‑risk test (hardness‑type indentation) with a digital layer that delivers the high‑value data traditionally obtained only from expensive, time‑consuming methods. The result is a low‑entry‑cost, high‑impact solution that aligns with the conservative mindset of manufacturing engineers while still delivering the data richness required for advanced design validation.

Bottom Line

Industry inertia remains the primary obstacle to widespread AM adoption, but it can be mitigated by offering tools that speak the language of existing processes. Plastometrex’s PIP test does exactly that—marrying a simple indentation with sophisticated simulation to produce tensile‑strength data in minutes, not hours. Its portable hardware empowers on‑site verification, delivering cost and time savings that resonate with risk‑averse engineers. As more manufacturers recognize that modern, data‑driven testing can be integrated without disrupting established workflows, the path for additive manufacturing to move from prototype to production becomes increasingly clear.