Machining Performance Reveals Opportunities for Efficiency Gain, The Value of Tooling Choices That Save Time Will Be The Important Key

As more sophisticated insight into machining performance reveals opportunities for efficiency gain, the value of tooling choices that save time will become increasingly clear.

 

The promise of Industry 4.0 is great news for the adoption of advanced cutting tools. The reason: In interconnected manufacturing systems in which comprehensive data reveal the performance of the system, the impact of an advanced tool becomes clear.

 

Historically, the lack of clarity about manufacturing performance has been the main impediment to shops embracing high-end cutting tools. Tools typically account for just 3 percent of the per-piece production cost of a machined part. However, a tool’s price tag is more visible than its benefits. This fact leaves manufacturers frequently pursuing cost-saving steps that have little impact. For example, at 3 percent of unit cost, finding tooling that is one-third less expensive will only cut the per-piece part cost by 1 percent. Something similar is true of tool life: Even doubling tool life will only cut cost per part by 1.5 percent. However, finding tooling that provides for significantly faster machining or reduced non-cutting time enables each unit of machine and labor time to deliver more parts, likely cutting the cost per piece by 10 or 15 percent.

 

This argument makes sense in the abstract. The problem is, it can be hard to marshal the data to prove this case as it applies to a specific tool in a specific cut. That is where Industry 4.0 comes in. We are moving into a world in which manufacturing systems increasingly do marshal data such as this, and manufacturers increasingly make use of it.

 

To get more efficient cutting tools, come and visit Shin-Yain Industrial Co., Ltd., they can meet all your requirements of cutting tools.

 

Article Source: https://www.mmsonline.com/blog/post/iscar-leader-describes-tool-technology-for-machine-shops-acting-on-data