Content Menu
● Why Blank Holder Force Matters
● How to Optimize Blank Holder Force Distribution
● Putting It Into Practice—and Facing the Challenges
● Looking Ahead: New Tools and Trends
● Q&A
Picture a bustling factory floor where flat sheets of metal are transformed into intricate parts for cars, planes, or even kitchen appliances. This is sheet metal forming, a process that’s both an art and a science. At its heart lies a challenge: getting the metal to flow smoothly into complex shapes without wrinkling, tearing, or thinning. One key to mastering this challenge is the blank holder force (BHF)—the pressure that holds the metal sheet in place as it’s shaped. Too much force, and the metal might tear; too little, and it could buckle. The real trick, though, isn’t just about how much force you apply—it’s about where and when you apply it to ensure the metal moves just right.
This article is a deep dive into optimizing BHF distribution to achieve consistent material flow. We’ll walk through practical methods, share stories from real manufacturing settings, and lean on insights from recent studies to show how this works in practice. Whether you’re forming a car door or an aircraft wing, understanding BHF can make or break your results. Let’s explore why it matters and how to get it right, with plenty of examples to bring the concepts to life.
In sheet metal forming, the blank holder is like a firm handshake—it keeps the metal sheet steady against the die while the punch shapes it. Think of deep drawing a cup: the blank holder grips the edges of the sheet to control how the metal flows into the die. If the grip is too loose, the metal wrinkles like a shirt left in the dryer too long. If it’s too tight, the metal might stretch too thin or tear. The goal is a balance that lets the metal flow smoothly without causing trouble.
But here’s the catch: a single, uniform force across the entire blank holder often doesn’t cut it. Real parts—like a car fender or an appliance panel—have complex shapes with corners, curves, and flat sections, all demanding different levels of control. Applying the same force everywhere is like using a single wrench size for every bolt on a machine—it’s not going to work well for every spot.
Distributing BHF strategically means applying different pressures to different parts of the sheet, or even changing the pressure as the forming process unfolds. This ensures the metal flows where it’s needed most. For example, in forming a car hood, you might need a tighter grip near sharp corners to prevent wrinkles, but a lighter touch in flatter areas to let the metal slide into the die. This tailored approach is especially crucial for materials like advanced high-strength steels (AHSS), which are strong but tricky to form without defects.
Consider a real case: a manufacturer forming an automotive B-pillar from AHSS struggled with wrinkles in curved areas. By splitting the blank holder into zones and applying higher force only where the curves were tightest, they cut wrinkling by nearly a third and reduced tears significantly. It’s a clear example of how thinking about force distribution can transform outcomes.

One of the best ways to nail BHF is through variable blank holder force (VBHF), where you adjust the force either across different parts of the sheet or over time. It’s like tuning a guitar—each string needs just the right tension to play in harmony.
Spatial VBHF means applying different forces to different parts of the blank holder. Imagine forming a rectangular tray with deep corners. You might use a segmented blank holder, where separate actuators press down on specific zones. Higher force near the corners keeps the metal from bunching up, while lower force along the straight edges lets it flow freely.
A German carmaker used this approach for an AHSS door panel. They divided the blank holder into ten zones, each with its own hydraulic actuator. By cranking up the force near the panel’s sharp curves and easing off in flatter sections, they slashed wrinkling by 35% and improved part consistency. The setup wasn’t cheap, but the savings from fewer defective parts made it worthwhile.
Temporal VBHF changes the force as the forming process progresses. Early on, when the metal needs to flow into the die, a lighter force helps. As the shape deepens, increasing the force prevents wrinkles. Think of it like adjusting your grip while kneading dough—you start gentle, then press harder to shape it.
A great example comes from a company making stainless steel sinks. They programmed their hydraulic press to ramp up BHF from 60 kN to 180 kN over the forming cycle. This gradual increase let the metal flow smoothly at first, then tightened up to avoid wrinkles as the sink took shape. The result? A 20% drop in thinning and no wrinkles, making for a better product with less waste.
Not all metals behave the same way. Aluminum, common in aerospace, is less forgiving than mild steel and tears easily if over-restrained. AHSS, used in cars for its strength, fights back with springback if you’re not careful. Each material demands its own BHF strategy.
For instance, a study on forming aluminum alloy 6061 for aircraft panels found that lowering BHF near the edges reduced tearing by 22%. The team used computer simulations to figure out the best force pattern, showing how a little planning can go a long way. Similarly, for AHSS in a car roof panel, researchers combined spatial and temporal VBHF, starting with low force and increasing it later. This cut springback by 15% and made the parts fit better in assembly.
Computer simulations, like finite element analysis (FEA), are like a crystal ball for forming. They let you predict how the metal will behave before you even touch the press. By modeling the material, die shape, and BHF, you can test different force patterns without wasting metal.
Take an automotive fender: engineers used FEA to try out various BHF setups. They found that boosting force near the fender’s tight curves and easing off elsewhere cut wrinkling by 38%. Another case involved a titanium aircraft part, where simulations showed that uniform BHF caused thinning. By tweaking the force to be lighter in high-stress areas, they reduced thinning by 27% and got a more uniform part.
To pull off VBHF, you need the right tools. Segmented blank holders with multiple actuators are common, often paired with hydraulic presses that can adjust force on the fly. A programmable logic controller (PLC) or computer system ties it all together, letting you dial in precise force patterns.
A Japanese manufacturer forming mild steel appliance panels upgraded their press with a segmented blank holder. They used eight actuators, each set based on FEA results, and saw a 30% drop in defects. The system paid for itself by reducing scrap and rework, showing how investment in tech can pay off.
VBHF isn’t a walk in the park. The equipment—think hydraulic presses or multi-actuator blank holders—can cost a fortune, especially for smaller shops. Plus, you need engineers who know their stuff to set it up right. Material variations, like slight differences in sheet thickness or strength, can also throw a wrench in things, requiring constant tweaks.
One study on forming steel for appliance panels hit this issue hard. Batch-to-batch variations in the metal messed with the BHF settings, leading to inconsistent parts. The solution? They added sensors to monitor material flow in real time, adjusting the force dynamically. This cut defects by 25% in high-speed production, proving that adaptability is key.

Machine learning is starting to shake things up in BHF optimization. By feeding it data from past forming jobs, you can teach it to predict the best force patterns for new parts. A study on AHSS for car parts used a neural network to suggest BHF setups based on material and die details. It was right 93% of the time, saving weeks of trial runs.
Additive manufacturing is another game-changer. By 3D-printing blank holders with custom shapes or stiffness, you can fine-tune force distribution like never before. A research team forming aluminum for aerospace parts printed a blank holder with variable thickness, reducing wrinkling by 20% compared to standard designs.
Optimized BHF isn’t just about better parts—it’s also about less waste. Fewer defects mean less scrap metal, which saves money and cuts environmental impact. A project forming stainless steel for kitchen appliances used VBHF to reduce waste by 18%, showing how small changes can have big ripple effects.
Controlling blank holder force distribution is like conducting an orchestra—every part of the process needs to work in harmony to create something great. By using techniques like variable BHF, tailoring forces to specific materials, and leaning on tools like simulations, manufacturers can achieve smoother material flow, fewer defects, and better parts. Real-world stories, from car panels to aircraft components, show defect reductions of up to 38% and material savings of 20% or more, proving the impact of these methods.
But it’s not without effort. High costs, complex setups, and material variations demand investment and expertise. Yet, with advances like machine learning and 3D-printed tools, the future looks bright. For engineers, mastering BHF optimization isn’t just about making better parts—it’s about pushing the boundaries of what’s possible in manufacturing, one press at a time.
Q: Why does variable blank holder force (VBHF) improve sheet metal forming?
A: VBHF adjusts force across different areas or over time, guiding material flow to prevent wrinkles and tears, leading to better parts with fewer defects.
Q: How do simulations help with BHF optimization?
A: Simulations like FEA predict how metal will flow, letting engineers test force patterns virtually, saving time and material compared to physical trials.
Q: What’s the biggest challenge in using VBHF?
A: High costs for equipment like segmented blank holders and the need for skilled engineers to handle complex setups and material variations.
Q: How does machine learning fit into BHF optimization?
A: It analyzes past forming data to predict optimal force patterns, cutting down on testing time and improving accuracy for new parts.
Q: Can BHF optimization help with sustainability?
A: Yes, by reducing defects and scrap, optimized BHF lowers material waste, saving costs and reducing environmental impact.
Title: Identification of the Optimal Blank Holder Force through In-Line Measurement of Blank Draw-In in a Deep Drawing Process
Journal: Journal of Manufacturing and Materials Processing
Publication Date: October 24, 2023
Main Findings: Real-time monitoring of blank draw-in enables accurate estimation of friction coefficients and optimal blank holder force levels, resulting in improved part quality and reduced defect rates through surrogate modeling and control algorithms.
Method: Finite element modeling combined with experimental validation using laser triangulation sensors and closed-loop control systems.
Citation: Palmieri, M.E.; Nono Dachille, A.; Tricarico, L., pages 1-18
URL: https://www.mdpi.com/2504-4494/7/6/190
Title: Effects of Variable Punch Speed and Blank Holder Force in Warm Superplastic Deep Drawing Process
Journal: Metals
Publication Date: March 17, 2021
Main Findings: Variable blank holder force and punch speed control significantly improve formability, reduce processing time by 40%, and enhance product quality in superplastic materials through coordinated multi-parameter optimization.
Method: Experimental analysis with superplastic materials using controlled temperature environments and multi-parameter optimization algorithms.
Citation: Manabe, K.; Soeda, K.; Shibata, A., pages 1-22
URL: https://www.mdpi.com/2075-4701/11/3/493
Title: Robust Optimization and Kriging Metamodeling of Deep-Drawing Process to Obtain a Regulation Curve of Blank Holder Force
Journal: Metals
Publication Date: February 12, 2021
Main Findings: Kriging metamodeling combined with robust optimization techniques enables development of regulation curves for blank holder force that maintain consistent performance despite material property variations and process disturbances.
Method: Statistical optimization using Kriging metamodeling, finite element analysis, and multi-objective optimization algorithms.
Citation: Palmieri, M.E.; Lorusso, V.D.; Tricarico, L., pages 1-16
URL: https://www.mdpi.com/2075-4701/11/2/319
Deep Drawing
https://en.wikipedia.org/wiki/Deep_drawing
Sheet Metal