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<article data-uid="Technique-AnomalyCases">
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<h1 id="cutting-force-anomaly-cases">Cutting Force Anomaly Cases</h1>
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<p>Both cases below cost a customer yield, and in both the cause was invisible on the machine and
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unmistakable in simulation. They are worth reading together, because they fail the same way: an
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intermittent force spike far outside normal cutting, at a location that moves.</p>
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<h2 id="case-i--face-milling-into-a-thin-workpiece">Case I — Face Milling Into a Thin Workpiece</h2>
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<p>A face milling operation, not fully entering from the side, produced forces <strong>10 to 30 times</strong>
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normal cutting.</p>
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<p><img src="anomaly-cases-img/face-milling-thin-workpiece.jpg" alt="Abnormal face milling on a thin workpiece"></p>
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<p>The engineers first suspected the clamping setup. The cause was in the NC: one face milling
|
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operation, inside an extensive program, moved straight down in a way that let the flute rotate
|
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into the workpiece at a critical moment. Because the impact depended on rotational phase, some
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runs completed cleanly, which is exactly what made the clamping hypothesis look plausible. The
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result was severe clamping instability and significant yield loss, and the impact was too brief
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to catch by watching.</p>
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<h2 id="case-ii--impeller-medium-milling">Case II — Impeller, Medium Milling</h2>
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||||
<p>A toolpath interference where the front and back blades connect produced <strong>40 times</strong> normal
|
||||
cutting force, and a high probability of tool breakage.</p>
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<p><img src="anomaly-cases-img/impeller-medium-milling.jpg" alt="Anomaly in impeller medium milling"></p>
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<p>Here too the root cause resisted diagnosis on the floor: the error occurred at inconsistent
|
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locations, so no single operation looked guilty.</p>
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<h2 id="why-simulation-finds-them">Why Simulation Finds Them</h2>
|
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<p>The forces involved — tens of times average — are an order of magnitude outside the 10%–25%
|
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error band the simulation carries between tool types. That gap is what makes these detectable
|
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rather than debatable: nothing about model accuracy could produce a 40× reading.</p>
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<p>The pattern to recognise, in both cases: <strong>intermittent, phase-dependent, and located where a
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person is not looking</strong>. Those are precisely the properties that make a problem survive on a
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shop floor, and precisely the ones a per-step simulation is indifferent to.</p>
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<h2 id="see-also">See Also</h2>
|
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<ul>
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<li><a href="cutting-force.html">Cutting Force and Torque Validation</a> — the error ranges these forces sit far outside</li>
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<li><a class="xref" href="../milling-physics/machinability.html">Evaluating Process Machinability</a> — the ratios that flag a step like these before it runs</li>
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<article data-uid="Technique-ValidationCuttingForce">
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<h1 id="cutting-force-and-torque-validation">Cutting Force and Torque Validation</h1>
|
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||||
<p>Cutting force is the quantity everything else is derived from — torque, power, deflection, heat,
|
||||
wear — so it is the one whose agreement with measurement matters most. The comparisons below are
|
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against dynamometer data on real cuts.</p>
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<h2 id="correlation-against-measurement">Correlation Against Measurement</h2>
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<p>For a <strong>new tool</strong>, the correlation coefficient between simulated and measured force typically
|
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falls between <strong>0.90 and 0.999</strong>. Homogeneous brittle materials sit at the high end, usually
|
||||
above 0.95, because there is less in the material itself to disagree about.</p>
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<p><img src="cutting-force-img/force-moment-correlation.png" alt="Simulated against measured force and moment"></p>
|
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<p>Two error ranges are worth carrying into a decision:</p>
|
||||
<ul>
|
||||
<li><strong>Across tool types on the same material</strong>, expect <strong>10%–25%</strong> error — a ball mill and an end
|
||||
mill trained on the same material do not land equally close. A different hone radius produces
|
||||
a similar range, though in rare cases it reaches <strong>40%</strong>.</li>
|
||||
<li><strong>Abnormal cutting</strong>, of the kind that loses yield on the floor, produces forces on the order
|
||||
of <strong>tens of times</strong> the average. That is far outside any of the error ranges above, which is
|
||||
what makes it detectable rather than arguable — see <a href="anomaly-cases.html">Cutting Force Anomaly Cases</a>.</li>
|
||||
</ul>
|
||||
<p>The waveform agrees as well as the magnitude. In the run below the machine shows Y-axis vibration
|
||||
that does not diverge, and the simulated waveform stays correlated with the measurement through it.</p>
|
||||
<p><img src="cutting-force-img/force-moment-waveform.png" alt="Simulated against measured force waveform under Y-axis vibration"></p>
|
||||
<h2 id="what-torque-predicts-about-the-surface">What Torque Predicts About the Surface</h2>
|
||||
<p>Torque is not only a load figure — its <strong>gradient along the surface</strong> predicts visible tool marks.
|
||||
When torque changes abruptly, spindle output power lags the power needed to hold speed, and the
|
||||
resulting speed dip leaves a mark. Cutting force deflecting the tool leaves marks by a second,
|
||||
independent route.</p>
|
||||
<p><img src="cutting-force-img/torque-gradient-tool-mark.png" alt="Tool marks against spindle torque gradient"></p>
|
||||
<p>Reading the figure, where blue through red is low through high:</p>
|
||||
<ul>
|
||||
<li><strong>A</strong> — a high torque gradient across the surface; the tool mark is obvious.</li>
|
||||
<li><strong>B</strong> — marks on both sides.</li>
|
||||
<li><strong>C</strong> — a low torque gradient; the mark is faint.</li>
|
||||
</ul>
|
||||
<p>The same physics detects the failure before it happens. Torque overload — the spindle unable to
|
||||
supply the demanded load — is reported per step, alongside the marks it will leave.</p>
|
||||
<p><img src="cutting-force-img/torque-overload-detection.png" alt="Torque overload detection"></p>
|
||||
<h2 id="a-worked-maximum-feed-rate">A Worked Maximum Feed Rate</h2>
|
||||
<p>The minimum tool-breakage stress follows from the cutting parameters, and a maximum feed rate
|
||||
follows from that. For FDAC at HRC 41–44, a 6 mm four-flute cutter, a full slot at 3 mm depth,
|
||||
6000 rpm and a <strong>safety factor of 2</strong>, the maximum feed rate works out at <strong>880 mm/min</strong>.</p>
|
||||
<p><img src="cutting-force-img/fdac-local-slot.jpg" alt="FDAC local slot"></p>
|
||||
<p>The safety factor is doing real work in that number: it is where the condition of the specific
|
||||
machine enters — see
|
||||
<a href="../machine-capability/machine-condition.html">Machine Condition and Safety Factors</a>.</p>
|
||||
<h2 id="see-also">See Also</h2>
|
||||
<ul>
|
||||
<li><a href="anomaly-cases.html">Cutting Force Anomaly Cases</a> — what forces tens of times the average look like in production</li>
|
||||
<li><a href="temperature-and-wear.html">Temperature and Wear</a> — the quantities derived from the force validated here</li>
|
||||
<li><a class="xref" href="../milling-physics/machinability.html">Evaluating Process Machinability</a> — the ratios these forces are turned into</li>
|
||||
<li><a href="../machine-capability/machine-condition.html">Machine Condition and Safety Factors</a> — the factor that turns the worked feed rate above into a value for a particular machine</li>
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<h1 id="validation">Validation</h1>
|
||||
|
||||
<p>What has been checked against measurement, how closely it agreed, and where the agreement stops.
|
||||
A simulation is only worth acting on to the extent someone has held it against a real cut, so
|
||||
these pages are the record of those comparisons rather than a claim about accuracy in general.</p>
|
||||
<p>Ordered from the quantity that everything else is derived from, outward to the results a
|
||||
customer sees.</p>
|
||||
<ul>
|
||||
<li><a href="cutting-force.html">Cutting Force and Torque</a> — The correlation against dynamometer measurement, the error ranges to expect by tool type, and the two things torque predicts about the finished surface</li>
|
||||
<li><a href="temperature-and-wear.html">Temperature and Wear</a> — Simulated cutter and chip temperature against thermal imaging, and the wear model behind the depth figures</li>
|
||||
<li><a href="anomaly-cases.html">Cutting Force Anomaly Cases</a> — Two production failures whose cause was invisible on the floor and obvious in simulation</li>
|
||||
<li><a href="optimization-results.html">Optimization Results</a> — Measured before-and-after on a hardened mould and a five-axis titanium roughing job</li>
|
||||
</ul>
|
||||
<p>Spindle power has its own validation page under Machine Capability —
|
||||
<a href="../machine-capability/spindle-power-evaluation.html">Spindle Power Evaluation</a> holds the
|
||||
comparison against Fanuc ServoGuide TCMD data, because what it validates is the spindle model
|
||||
rather than the cut.</p>
|
||||
<h2 id="see-also">See Also</h2>
|
||||
<ul>
|
||||
<li><a href="../milling-physics/index.html">Milling Physics</a> — the model these comparisons are testing</li>
|
||||
<li><a href="../machine-capability/index.html">Machine Capability</a> — the equipment ceilings the same measurements calibrate</li>
|
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|
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<article data-uid="Technique-OptimizationResults">
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||||
<h1 id="optimization-results">Optimization Results</h1>
|
||||
|
||||
<p>Two measured before-and-after comparisons. Both were run on real machines with the same cutter
|
||||
and the same geometry, changing only the feed rates in the NC program.</p>
|
||||
<h2 id="hardened-mould-3-axis--fdac">Hardened Mould, 3-Axis — FDAC</h2>
|
||||
<p><img src="optimization-results-img/fdac-mold-sim.jpg" alt="FDAC mould simulation"></p>
|
||||
<p><strong>Bull nose cutter</strong></p>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th></th>
|
||||
<th>Fixed feed</th>
|
||||
<th>Optimized feed</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>Feed rate</td>
|
||||
<td>120 mm/min</td>
|
||||
<td>variable</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Expected machining time</td>
|
||||
<td>303 min</td>
|
||||
<td>95 min (31%)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Tool breakage</td>
|
||||
<td>at 217 min</td>
|
||||
<td>none</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
<p>The time figure is the headline, but the breakage row is the result worth having: the fixed-feed
|
||||
run did not complete. An optimized program that finishes is not comparable to an unoptimized one
|
||||
that does not.</p>
|
||||
<p><strong>Ball cutter</strong></p>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th></th>
|
||||
<th>Fixed feed</th>
|
||||
<th>Optimized feed</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>Feed rate</td>
|
||||
<td>220 mm/min</td>
|
||||
<td>variable</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Machining time</td>
|
||||
<td>125 min</td>
|
||||
<td>74 min (59%)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Measured wear depth</td>
|
||||
<td>50 µm</td>
|
||||
<td>20 µm (40%)</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
<p>The wear depth here is <strong>measured on the cutter</strong>, not simulated:</p>
|
||||
<p><img src="optimization-results-img/fixed-feed-cutter-wear.png" alt="Wear after the fixed-feed run">
|
||||
Fixed feed</p>
|
||||
<p><img src="optimization-results-img/opt-feed-cutter-wear.png" alt="Wear after the optimized run">
|
||||
Optimized feed</p>
|
||||
<h2 id="free-form-roughing-5-axis--ti6al4v">Free-Form Roughing, 5-Axis — Ti6Al4V</h2>
|
||||
<p>Simulated comparison on a five-axis free-form roughing program in titanium:</p>
|
||||
<table>
|
||||
<thead>
|
||||
<tr>
|
||||
<th></th>
|
||||
<th>Original NC</th>
|
||||
<th>Optimized NC</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>Machining time</td>
|
||||
<td>181 s</td>
|
||||
<td>79 s (56% reduction)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Tool wear</td>
|
||||
<td>13.1 µm</td>
|
||||
<td>8.9 µm (32% reduction)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Breakage risk</td>
|
||||
<td>high, from overcut; low yield</td>
|
||||
<td>overcut breakage eliminated</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
<p>Both figures here are simulated rather than measured, and should be read as such — the
|
||||
comparison is sound because both sides come from the same model, which is the same argument that
|
||||
applies to the quoted times.</p>
|
||||
<h2 id="reading-these-numbers">Reading These Numbers</h2>
|
||||
<p>The times are ideal-feed estimates and omit controller dynamics on both sides of every
|
||||
comparison, so the <strong>ratio</strong> is the trustworthy part and the absolute is not — see
|
||||
<a href="../nc-optimization/machining-time-estimation.html">Machining Time Estimation</a>.</p>
|
||||
<h2 id="see-also">See Also</h2>
|
||||
<ul>
|
||||
<li><a href="../nc-optimization/nc-optimization-principles.html">NC Optimization Principles</a> — what the optimizer changed to produce these reductions</li>
|
||||
<li><a href="../nc-optimization/machining-time-estimation.html">Machining Time Estimation</a> — why the ratio in these tables is sounder than the absolute</li>
|
||||
</ul>
|
||||
|
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</article>
|
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<article data-uid="Technique-ValidationTemperature">
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<h1 id="temperature-and-wear-validation">Temperature and Wear Validation</h1>
|
||||
|
||||
<p>Temperature and wear sit two steps downstream of cutting force, so their agreement with
|
||||
measurement is a test of the whole chain rather than of one model. Both have been checked against
|
||||
instruments rather than against expectation.</p>
|
||||
<h2 id="temperature-against-thermal-imaging">Temperature, Against Thermal Imaging</h2>
|
||||
<p>Infrared thermography (IRT) of a running cut was compared against the simulated temperatures.</p>
|
||||
<p><img src="temperature-and-wear-img/irt-temperature-validation.png" alt="IRT measurement against simulated temperature"></p>
|
||||
<p>Three things the comparison establishes:</p>
|
||||
<ul>
|
||||
<li><strong>A</strong> — the IRT-measured temperature aligns with the simulated <strong>cutter</strong> temperature at 0.5 mm
|
||||
depth. That depth matters: the surface reading and the body reading are different numbers, and
|
||||
the simulation reports both.</li>
|
||||
<li><strong>B</strong> — the high temperature on the blur is an <strong>unescaped chip</strong>, and the IRT reading there
|
||||
matches the simulated <strong>chip</strong> temperature. What looks like a hot cutter is often a hot chip
|
||||
that has not left.</li>
|
||||
<li><strong>C</strong> — the temperature peak in the trace originates from that blur, not from the cutting edge.</li>
|
||||
</ul>
|
||||
<p>The practical consequence: a thermal measurement of a cut is not automatically a measurement of
|
||||
the tool. Chip evacuation has to be accounted for before an IRT reading and a simulated cutter
|
||||
temperature can be compared at all.</p>
|
||||
<h2 id="wear-from-the-same-thermal-model">Wear, From the Same Thermal Model</h2>
|
||||
<p>Wear per revolution is computed from temperature, pressure, friction length and hardness:</p>
|
||||
<div class="math">
|
||||
\[
|
||||
W(T)=k(T)\frac{L P}{H(T)}
|
||||
\]</div>
|
||||
<p>Both the temperature and the hardness terms are temperature-dependent, which is why the wear
|
||||
figure is only as good as the thermal chain above it.</p>
|
||||
<p><img src="temperature-and-wear-img/wear-evaluation-snapshot.jpg" alt="Wear evaluation"></p>
|
||||
<p>Measured against a real cutter, the depth figures hold up well enough to be used as a comparison
|
||||
between two programs — the 50 µm against 20 µm result in
|
||||
<a href="optimization-results.html">Optimization Results</a> is a measured wear depth, not a simulated one.</p>
|
||||
<h2 id="see-also">See Also</h2>
|
||||
<ul>
|
||||
<li><a href="cutting-force.html">Cutting Force and Torque Validation</a> — the quantity this chain is derived from</li>
|
||||
<li><a class="xref" href="../milling-physics/wear.html">Tool Life & Wear</a> — the wear model itself, its three reported quantities, and where flank-wear width stops being valid</li>
|
||||
</ul>
|
||||
|
||||
</article>
|
||||
|
||||
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<a href="index.html" name="" title="Overview">Overview</a>
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<a href="cutting-force.html" name="" title="Cutting Force and Torque">Cutting Force and Torque</a>
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|
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<a href="anomaly-cases.html" name="" title="Cutting Force Anomaly Cases">Cutting Force Anomaly Cases</a>
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<a href="optimization-results.html" name="" title="Optimization Results">Optimization Results</a>
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@@ -0,0 +1,2 @@
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{"items":[{"name":"Overview","href":"index.html","topicHref":"index.html"},{"name":"Cutting Force and Torque","href":"cutting-force.html","topicHref":"cutting-force.html"},{"name":"Temperature and Wear","href":"temperature-and-wear.html","topicHref":"temperature-and-wear.html"},{"name":"Cutting Force Anomaly Cases","href":"anomaly-cases.html","topicHref":"anomaly-cases.html"},{"name":"Optimization Results","href":"optimization-results.html","topicHref":"optimization-results.html"}]}
|
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