InnerVoice is the most powerful in-process monitoring capability in the industry. But do not be fooled by its sophisticated interface, its powerful data explorers, or its multivariate baseline generation and comparison tools. All of its power and versatility can be condensed into a single pass/suspect/fail or go/no-go quality disposition. This article provides several ways in which InnerVoice's quality disposition can be integrated into a plant-floor solution.
Your automated welding process is unique. Your materials, workpiece geometry, equipment, process schedule, and manufacturing environment make your process one-of-a-kind. So why allow an in-process monitoring application provider to sell you a one-size-fits-all approach? This article introduces InnerVoice's modular plugin environment and explains why InnerVoice is the most powerful in-process monitoring solution on the market.
Reducing the manufacturing cycle time serves a vital role in increasing the revenue of an organization. Managers are therefore reluctant to consider implementing additional layers of quality assurance that might negatively impact their productivity or manufacturing cycle time. This article explains how InnerVoice can enhance quality surveillance without reducing productivity or increasing the manufacturing cycle time.
Outsourcing weld process development to an experienced contract welding service provider is common for many industries, including the manufacturers of flight critical components, turbomachinery, and precision medical parts as well as for small-scale research and development applications. Contract services may range from new process development to prototype welding to small- or high-volume production. Experienced contract welding service providers are usually staffed with knowledgeable welding engineers, technicians, and operators that are accustomed to difficult-to-solve and out-of-the-ordinary process needs. However, how does a client know that the process development was performed in a repeatable and consistent manner? This article illustrates a real-world example where the process behavior unknowingly changed over a two-day development effort.
The claim that InnerVoice, or any in-process monitoring capability, can detect defects is a misnomer. In actuality, in-process monitoring infers a defect-free part by directly interogating the process physics and dynamics.