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Pressing or joining is one of the most common manufacturing operations. Press-fit, also called interference fit, is an automated pressing process that involves using force to fasten two parts. Various industries use press-fit or interference fit in manufacturing, including automotive, off-highway, medical, appliances, and electronics.

Leaks, unwanted noise and other defects found downstream on production lines are often due to missed issues during the press-fit process. These issues result in time consuming and costly scrapping and reworking that slows down your production line.

Utilizing the right type of press force monitoring is critical in detecting joining defects early in the process, before they cause larger and costlier issues. Sciemetric applies advanced digital process signature technology to monitor every step of the press force operation to catch defects accurately and reliably, as they occur.

In this video, Sciemetric’s CTO, Richard Brine, demonstrates the Sciemetric EDGE solution for press-fit applications on the production line. Learn how the Sciemetric solution gives you a close-up look at your application using powerful data acquisition technology and waveform analytics to pinpoint the specific problems in your process.


Add intelligence to your press-fit operations 

Sciemetric’s systems for press-fit monitoring use unique digital process signature analysis software to capture, analyze, and store thousands of data points from each pressing operation to deliver the most accurate real-time press-fit defect detection.

Our systems can be deployed with any hydraulic, servo electric, pneumatic (air over oil), and mechanical presses. The waveform analysis software provides real-time force distance monitoring results, giving you valuable insight into the quality of manufactured assemblies and components.

Finds part issues

  • Incorrect orientation
  • Cracked
  • Over-size
  • Under-size
  • Improper insertion
  • Tolerance stack-up

Identifies process or machine issues

  • Bad alignment
  • Improper lubrication
  • Wrong ram speed
  • Loose fixtures
  • Damaged seals
  • Low hydraulic pressure

Flexible press monitoring solutions to fit your needs

Sciemetric offers two solutions for monitoring and analysis for press operations: sigPOD and Sciemetric EDGE. Each solution applies the power and insight of Sciemetric digital process signature technology, combined with the hardware to suit your needs on the line. See below for more information on which solution is right for you.



The sigPOD is powerful process monitoring platform that offers an in-station display to be able to easily view and analyze your basic test data using PSV right at the station. 

The sigPOD is preferred if your application requires several channels of synchronous data collection and all of your monitored pressing rams operating in a consistent, simultaneous manner.

Press-fit PSV screens
Press-fit process data analyzed right at the station using Sciemetric's PSV™ (process signature verification) software for sigPOD.

Sciemetric EDGE

Sciemetric EDGE

The Sciemetric EDGE is an innovative platform for process monitoring and control. It offers compact, modular design and remote access control.

The Sciemetric EDGE is preferred if you have a multi-ram asynchronous station, where any ram could be operating at any time. The Sciemetric EDGE can be applied on a per ram basis, close to the operation for seamless integration with your system.

press-fit data using Sciemetric Studio
Press-fit process data analyzed remotely or at the station (on industrial PC) using Sciemetric Studio software as part of the Sciemetric EDGE platform.


Digital signatures provide greater accuracy in press force monitoring

Sciemetric force distance monitoring technology is based on digital process signatures, or waveform analysis, which analyzes all the critical points of an operation to determine a pass/fail decision. Signature analysis provides a visual representation of the process.

The force distance waveform is a combination of force vs. time and distance vs. time measurements.


The combined press signature provides a visual overview of the key measurement parameters.

press signatures

Variations in the repeatable curve are indications of problems. Only Sciemetric enables the reprocessing and overlay of signatures to determine the root cause of issues. For example, looking at a population of signatures, the chatter seen can be attributed to spikes in force caused by the rocking of the pin being inserted during the operation.


More on digital process signatures

Real-world applications for press-fit defect detection

Sciemetric's pressing process defect detection provides reliable monitoring in various press test applications, including:

  • Brake Pad Press
  • Crimp Nut Press
  • Power Steering Pump Press
  • Assembly Press
  • Valve Seat Press
  • Oil Plug Press
  • Cup Plug Press
  • EGR Assembly Press
  • Turbo Pipe Press
  • Snap Ring Press
  • Tube Press
  • Bearing Press
  • Fuel Tank Valve Press Application

Learn more about how our process monitoring and in-process test capabilities have been used to:

Create a new integrity test system that included press-fit monitoring for a reputable brake pad manufacturer


Replace subjective method of testing rubber-to-metal bond on a part


Provide precise control and monitoring of power steering pump press-fit assembly for an automotive parts manufacturer



View more press-fit application notes

Smart manufacturing: Lever the data from press-fit operations

Sciemetric enables manufacturers to use the data from press force operations to improve the process continuously. We also can connect press operations to other operations in the factory to provide a complete part history.

Explore how our QualityWorX suite of data management and manufacturing analytics software can consolidate press-fit monitoring data with all the rest of your production part data to enable quick response to quality or throughput issues. Find the root causes of defects, correlate downstream problems to upstream stations and get full traceability.

image of boxes with defective ones highlighted