PhyCAD-Bench / tasks /047 /simulate.py
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"""Map STEP mass properties into a two-joint robot arm torque test."""
import argparse
import hashlib
import json
import math
import subprocess
import sys
from pathlib import Path
ROOT = Path(__file__).resolve().parent
def measure(step: Path, setup: dict) -> dict:
import cadquery as cq
from OCP.BRepGProp import BRepGProp
from OCP.GProp import GProp_GProps
shape = cq.importers.importStep(str(step)).val()
if shape.ShapeType() != "Solid" or len(shape.Solids()) != 1 or not shape.isValid():
raise ValueError("Expected one valid industrial arm link")
holes = []
for face in shape.Faces():
if face.geomType() != "CYLINDER":
continue
bounds = face.BoundingBox()
if (abs(face.Area() - 2 * math.pi * 10 * 20) < 1e-3 and
abs(bounds.zmin + 10) < 1e-5 and
abs(bounds.zmax - 10) < 1e-5):
holes.append(face.Center().x)
holes.sort()
if len(holes) != 2:
raise ValueError("Expected two 10 mm radius through bores")
pads = []
for x in (0, 300):
pad = cq.Solid.makeBox(40, 50, 20, cq.Vector(x - 20, -25, -10))
bore = cq.Solid.makeCylinder(10, 20, cq.Vector(x, 0, -10),
cq.Vector(0, 0, 1))
pads.append(pad.cut(bore))
envelope = cq.Solid.makeBox(340, 80, 20, cq.Vector(-20, -40, -10))
props = GProp_GProps()
BRepGProp.VolumeProperties_s(shape.wrapped, props)
density = setup["link_density_kg_m3"]
inertia = props.MatrixOfInertia()
return {
"step_sha256": hashlib.sha256(step.read_bytes()).hexdigest(),
"volume_mm3": props.Mass(),
"mass_kg": props.Mass() * density * 1e-9,
"center_of_mass_m": [value / 1000
for value in props.CentreOfMass().Coord()],
"inertia_tensor_kg_m2": [
[inertia.Value(i, j) * density * 1e-15 for j in (1, 2, 3)]
for i in (1, 2, 3)],
"joint_bore_x_mm": holes,
"joint_pad_missing_mm3": sum(max(0.0, pad.Volume() -
pad.intersect(shape).Volume())
for pad in pads),
"envelope_excess_mm3": max(0.0, shape.Volume() -
shape.intersect(envelope).Volume()),
}
def dynamics(properties: dict, setup: dict) -> dict:
import pychrono as ch
results = {}
for frequency in setup["trajectory_frequencies_Hz"]:
system = ch.ChSystemSMC()
system.SetGravitationalAcceleration(
ch.ChVector3d(0, -setup["gravity_m_s2"], 0))
system.SetSolver(ch.ChSolverSparseLU())
ground = ch.ChBody()
ground.SetFixed(True)
system.Add(ground)
proximal = ch.ChBody()
proximal.SetMass(properties["mass_kg"])
inertia = ch.ChMatrix33d()
inertia.SetMatr(properties["inertia_tensor_kg_m2"])
proximal.SetInertia(inertia)
proximal.SetPos(ch.ChVector3d(*properties["center_of_mass_m"]))
system.Add(proximal)
distal = ch.ChBody()
distal.SetMass(setup["distal_assembly_and_payload_mass_kg"])
distal.SetInertiaXX(ch.ChVector3d(
*setup["distal_assembly_inertia_kg_m2"]))
distal.SetPos(ch.ChVector3d(
setup["distal_assembly_center_x_m"], 0, 0))
system.Add(distal)
shoulder = ch.ChLinkMotorRotationAngle()
shoulder.SetSpindleConstraint(
ch.ChLinkMotorRotation.SpindleConstraint_REVOLUTE)
shoulder.Initialize(proximal, ground,
ch.ChFramed(ch.ChVector3d(0, 0, 0)))
shoulder.SetAngleFunction(ch.ChFunctionSine(
setup["shoulder_sine_amplitude_rad"], frequency,
-math.pi / 2, setup["shoulder_sine_shift_rad"]))
system.Add(shoulder)
elbow = ch.ChLinkMotorRotationAngle()
elbow.SetSpindleConstraint(
ch.ChLinkMotorRotation.SpindleConstraint_REVOLUTE)
elbow.Initialize(distal, proximal, ch.ChFramed(
ch.ChVector3d(setup["elbow_position_m"], 0, 0)))
elbow.SetAngleFunction(ch.ChFunctionSine(
setup["elbow_sine_amplitude_rad"], frequency,
-math.pi / 2, setup["elbow_sine_shift_rad"]))
system.Add(elbow)
dt = setup["time_step_s"]
steps = round(setup["duration_s"] / dt)
if dt <= 0 or abs(steps * dt - setup["duration_s"]) > 1e-12:
raise ValueError("Invalid arm trajectory grid")
peak_shoulder_torque = 0.0
peak_elbow_torque = 0.0
for index in range(steps):
system.DoStepDynamics(dt)
if (index + 1) * dt >= setup["ignore_initial_torque_s"]:
peak_shoulder_torque = max(
peak_shoulder_torque, abs(shoulder.GetMotorTorque()))
peak_elbow_torque = max(
peak_elbow_torque, abs(elbow.GetMotorTorque()))
if not all(math.isfinite(value) for value in (
peak_shoulder_torque, peak_elbow_torque)):
raise ValueError("Non-finite arm motor torque")
results[str(frequency)] = {
"peak_shoulder_motor_torque_N_m": peak_shoulder_torque,
"peak_elbow_motor_torque_N_m": peak_elbow_torque,
"final_shoulder_angle_rad": shoulder.GetMotorAngle(),
"final_elbow_angle_rad": elbow.GetMotorAngle(),
}
return results
def invoke(python: str, phase: str, payload: dict) -> dict:
run = subprocess.run([python, str(Path(__file__).resolve()), "--phase", phase],
input=json.dumps(payload), text=True, capture_output=True)
if run.returncode:
raise RuntimeError(f"{phase} failed:\n{run.stderr[-1600:]}")
return json.loads(run.stdout)
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--cad-python", default=sys.executable)
parser.add_argument("--physics-python", default=sys.executable)
parser.add_argument("--phase", choices=("measure", "dynamics"))
args = parser.parse_args()
if args.phase:
payload = json.load(sys.stdin)
result = (measure(Path(payload["step"]), payload["setup"])
if args.phase == "measure" else
dynamics(payload["properties"], payload["setup"]))
print(json.dumps(result))
return
setup = json.loads((ROOT / "setup.json").read_text())
results = {}
for name in ("before", "after"):
properties = invoke(args.cad_python, "measure", {
"step": str(ROOT / f"{name}.step"), "setup": setup})
results[name] = {
"step_properties": properties,
"simulation_result": invoke(args.physics_python, "dynamics", {
"properties": properties, "setup": setup}),
}
before, after = results["before"], results["after"]
bp, ap = before["step_properties"], after["step_properties"]
bs, gs = before["simulation_result"], after["simulation_result"]
cases = [str(frequency) for frequency in setup["trajectory_frequencies_Hz"]]
baseline = [bs[case]["peak_shoulder_motor_torque_N_m"] for case in cases]
candidate = [gs[case]["peak_shoulder_motor_torque_N_m"] for case in cases]
reductions = [1 - a / b for a, b in zip(candidate, baseline)]
checks = {
"shoulder_torque_reduced_both_trajectories": min(reductions) >=
setup["required_relative_peak_torque_reduction"],
"candidate_torque_limit": max(candidate) <=
setup["maximum_candidate_peak_torque_N_m"],
"mass_fixed": abs(ap["mass_kg"] / bp["mass_kg"] - 1) <=
setup["maximum_relative_mass_change"],
"joint_pads_fixed": ap["joint_pad_missing_mm3"] <=
setup["maximum_joint_pad_missing_mm3"],
"joint_bores_fixed": max(abs(a - b) for a, b in zip(
ap["joint_bore_x_mm"], bp["joint_bore_x_mm"])) <=
setup["maximum_joint_bore_center_error_mm"],
"envelope_fixed": ap["envelope_excess_mm3"] <=
setup["maximum_envelope_excess_mm3"],
}
after["comparison_to_before"] = {
"relative_shoulder_torque_reductions": reductions,
"checks": checks, "passed": all(checks.values()),
}
for name, result in results.items():
(ROOT / f"{name}.results.json").write_text(json.dumps(result, indent=2) + "\n")
print(f"Peak shoulder torque: {baseline} -> {candidate} N m")
print(f"Task passed: {all(checks.values())}")
if not all(checks.values()):
raise SystemExit(1)
if __name__ == "__main__":
main()