
FEATUREARTICLE
How to Achieve Intelligent Tool Management
With an effective tooling database, moldmakers can manage and track the information that is essential to their business.
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For more information contact Randy Harper of CAMM/Creative Advanced Machining Methods (Quincy, OH) at (937) 585-3483 or via e-mail at rharper@woh.rr.com.
When searching for a tooling database that best fits your business, consider one developed in Access for WindowsT, which is both user-friendly and customizable - one that allows the user to easily view all of the dynamic information about a cutter assembly on its own full-screen, personal record. The user can then search for the best tools using any of the input parameters and produce reports for preset personnel, machine tool operators, NC-programmers or process engineers which help them to best utilize the tooling inventory for chatter-free rpm and maximum depth of cut.
Key Features of a Tooling Database
High-speed machining re-quires better balancing of tooling. However, a consistent means of specifying required balance has yet to be properly standardized. A tooling database can address this problem by computing the unbalanced force on the cutter - based on balance machine measurements and the anticipated maximum cutting force due to chip removal. The user can then make a judgement as to the level of required balance by comparing these two values.
Assuming that maximum cutting loads are better defined by power and torque limits of the spindle and tool, the user can utilize these values to provide guidelines for the required tool balance. For instance, if the tool balance is producing a 20-pound unbalance force, but the roughing cut is expected to generate a 200-pound peak cutting force, then the unbalance force will likely not produce any significant effects to the cut and no further balancing would be required. However, if the same balance force is computed for a finishing cut producing only 40 pounds of peak cutting force, then improving tool balance may be required to eliminate any detrimental effects - poor surface finish or accuracy, reduced tool life, etc. - from tool unbalance. The relative level of tool unbalance to peak cutting force can be specified by the user based on their experience and machining quality requirements - unbalance/cutting force = five percent, 10 percent, etc.
With a tooling database, the user is able to input the G-Factor or tool unbalance (in gram-mm) results from their balancing machine along with spindle speed and automatically compute the unbalance forces. By utilizing user-input data on workpiece material, chip-load and depth of cut, anticipated peak cutting forces can be computed. All of the necessary information is then available for the user to make an informed judgement on the required tool balance.
First-Line Estimation of Cutting Performance If dynamic measurement results are not available, fields should be provided to input actual cutting test or machining experience results. The user can then easily track limits, good spindle speeds and maximum depths of cut for each tool. Once this data is obtained for a reasonable tool set, a tooling database will allow reasonable predictions to be made on new tooling given critical parameters such as gage length, arbor-type, tooth count and tool stick-out.
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