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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.

Manufacturers have increased pressure to achieve fast-paced production and FTT rates.  Ensuring efficiency throughout your production line requires in-process visualization and monitoring of your most critical processes.  Press force monitoring is critical in detecting joining defects early, before they cause larger and costlier issues.

Upgrade your press-force monitoring system with advanced digital process signature technology designed to catch defects accurately and reliably as they occur. Monitor every step of the press force operation and perform real-time analysis to improve your manufacturing, achieve higher productivity, and increase profitability.  

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.


Visualized data intelligence for automated press-fit operations 

Sciemetric offers two solutions for monitoring and analysis for press force operations: sigPOD and Sciemetric EDGE. Each press-fit monitoring solution applies the power and insight of digital process signature technology, combined with the hardware to suit your needs on the line. 

Deploy these systems with any hydraulic, servo electric, pneumatic (air over oil), or 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. View your reports in real-time or compare results later to improve production efficiency.

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-fit monitoring solutions to fit your needs

Unique digital process signature analysis software allows you to capture, analyze, and store thousands of data points. Collecting insights from each force distance operation delivers the most accurate, real-time defect detection. Find your ideal solution below: 



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. 

Choose this solution 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

This innovative platform offers a compact, modular design and remote access control for process monitoring and control throughout your production line.

Select this platform 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 detecting and monitoring press-fit defects

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 your press force operations

Our press-fit monitoring systems enables manufacturers to use the data from press force operations for continuous process improvement. The system also allows you to 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 your other production part data, enabling 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