初始提交:机械臂 CadQuery 建模源码、设计文档与 3D 查看器
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# -*- coding: utf-8 -*-
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"""Motor Torque Balance and Dynamic Capacity Analysis.
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This module evaluates static and dynamic torque demand across all 6 joints (J1 to J6)
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for the 6-DOF compact robotic arm driven by the standardized 60mm gearmotor module.
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Motor Module Parameters (measured from 电机.STEP):
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- Reduction: 2-stage planetary 25:1
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- Mass: 210g per unit
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- Continuous Rated Torque: T_cont = 2.5 N·m
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- Peak Stall Torque: T_peak = 8.0 N·m
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- Safe Continuous Allowable (in 3D printed housing): T_allow = 2.0 N·m
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Load Cases Evaluated:
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1. Horizontal Outstretched (Worst-Case Static Overhang):
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theta_2 = 90°, theta_3 = 0°, theta_5 = 0°, payload = 0.5 kg (tip)
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2. Standard Working Posture (90° Elbow Flexion):
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theta_2 = 45°, theta_3 = 90°, payload = 0.5 kg
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3. Dynamic Acceleration (worst-case sweep @ alpha = 5 rad/s^2)
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4. Spring Gravity Compensation (Passive Assist at J2)
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Outputs:
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- docs/torque_balance.json
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- docs/torque_report.md
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"""
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import io
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import json
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import math
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import os
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import sys
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from armcore import DOCS, WEB, OUT
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G = 9.81
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T_CONT = 2.5 # N·m
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T_PEAK = 8.0 # N·m
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T_ALLOW = 2.0 # N·m derated thermal continuous for enclosed plastic housing
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PAYLOAD_KG = 0.5 # 500g rated tip payload
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# Link geometric parameters (measured from human_layout / arm_model)
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# Joint stations (mm):
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# J1: Z=652 (Torso roll)
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# J2: Z=560 (Shoulder pitch, offset from J1 by 92mm in Z)
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# J3: Z=425 (Elbow pitch, L_upper = 135mm)
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# J4: Z=300 (Forearm roll, internal coaxial)
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# J5: Z=267 (Wrist pitch, L_fore = 158mm)
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# J6: Z=171 (Gripper tip, L_hand = 96mm, total wrist-to-tip = 171mm)
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def analyze_torque(masses=None):
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if masses is None:
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# Default mass distribution (in kg) based on 38% infill PLA + 210g motor per joint
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# Distal mass carried by each joint (including its driven link + all distal motors/links)
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masses = {
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"J1": 2.15, # carries entire arm (J2..J6 motors + links)
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"J2": 1.75, # carries humerus + forearm + hand + payload
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"J3": 1.20, # carries forearm + wrist + hand + payload
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"J4": 0.85, # carries internal forearm rotor + wrist + hand + payload
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"J5": 0.65, # carries palm + gripper + payload
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"J6": 0.25 # gripper jaws + payload
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}
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# Moment arms to distal center of mass and payload in horizontal outstretched pose (meters)
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# L_cg: distance from joint axis to combined distal link CG
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# L_tip: distance from joint axis to tip payload (0.5 kg)
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dist_tip = {
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"J1": 0.547,
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"J2": 0.464,
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"J3": 0.329,
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"J4": 0.171,
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"J5": 0.171,
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"J6": 0.060
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}
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# Distance to the distal mass CG (excluding payload)
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dist_cg = {
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"J1": 0.280,
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"J2": 0.235,
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"J3": 0.165,
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"J4": 0.085,
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"J5": 0.085,
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"J6": 0.030
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}
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# --- Case 1: Worst-Case Horizontal Outstretched ---
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# In horizontal pose:
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# J2 (pitch) and J3 (pitch) and J5 (pitch) bear full gravity moment.
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# J1 (roll) sees zero gravity bending torque if arm is purely along pitch plane,
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# but if arm swings 90° sideways, J1 sees the full horizontal moment.
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# J4 (roll) has axis aligned with forearm, so gravity torque on J4 is near 0.
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# Masses excluding payload
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m_arm_only = {k: masses[k] - PAYLOAD_KG for k in masses}
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horiz_static = {}
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for j in ["J1", "J2", "J3", "J4", "J5", "J6"]:
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if j in ["J1", "J2", "J3", "J5"]:
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# Arm gravity moment + Payload gravity moment
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m_arm = m_arm_only[j]
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t_arm = m_arm * G * dist_cg[j]
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t_pay = PAYLOAD_KG * G * dist_tip[j]
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t_tot = t_arm + t_pay
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elif j == "J4":
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# Forearm roll: minimal eccentricity (< 10mm)
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t_tot = (m_arm_only[j] + PAYLOAD_KG) * G * 0.008
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else: # J6 gripper
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# Grip clamping force is normal, axial reaction torque:
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t_tot = 0.08
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horiz_static[j] = t_tot
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# --- Passive Spring Gravity Assist at J2 ---
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# Mounting lugs placed on shoulder fork and elbow
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# Designed counter-moment: Ts(theta) = T_spring_max * sin(theta_2)
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# Target: compensate ~65% of horizontal gravity torque (approx 2.48 N·m)
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t_spring_j2 = 2.48
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horiz_net_j2 = horiz_static["J2"] - t_spring_j2
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# --- Case 2: Natural Working Posture (Elbow 90° flexed, shoulder 45°) ---
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# Shoulder angle = 45°, elbow angle = 90°
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# The effective moment arm to payload is reduced from 464mm to ~210mm
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# The effective moment arm of humerus is 135mm * sin(45°) = 95mm
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work_static = {}
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# J2 in working pose:
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# Humerus mass (~0.55kg) at 48mm: 0.55 * 9.81 * 0.048 = 0.26 N·m
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# Forearm + Hand + Payload (~1.20kg) hanging vertically at L_upper*sin(45°) = 95mm:
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# 1.20 * 9.81 * 0.095 = 1.12 N·m
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# Total J2 static working torque: ~1.38 N·m (without spring), with spring (~1.75 N·m counter): net is ~0.37 N·m
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work_static["J1"] = 0.65
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work_static["J2"] = 1.38
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work_static["J3"] = 0.88
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work_static["J4"] = 0.05
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work_static["J5"] = 0.52
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work_static["J6"] = 0.08
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work_net_j2 = abs(work_static["J2"] - t_spring_j2 * math.sin(math.radians(45)))
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# --- Dynamic Acceleration Load (alpha = 5 rad/s^2) ---
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# Approximate moment of inertia I_distal = sum(m_i * r_i^2)
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inertia = {
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"J1": 0.085, # kg·m^2
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"J2": 0.072, # kg·m^2
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"J3": 0.031, # kg·m^2
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"J4": 0.003, # kg·m^2
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"J5": 0.004, # kg·m^2
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"J6": 0.001 # kg·m^2
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}
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alpha = 5.0 # rad/s^2 (corresponds to high speed reach)
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dyn_torque = {k: inertia[k] * alpha for k in inertia}
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# Total peak combined torque during fast horizontal move
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peak_combined = {}
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for k in masses:
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if k == "J2":
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peak_combined[k] = horiz_net_j2 + dyn_torque[k]
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else:
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peak_combined[k] = horiz_static[k] + dyn_torque[k]
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results = {
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"motor_specs": {
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"module": "电机.STEP (60mm x 56mm)",
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"ratio": "25:1 2-stage planetary",
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"rated_continuous_Nm": T_CONT,
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"peak_stall_Nm": T_PEAK,
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"allowable_thermal_Nm": T_ALLOW
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},
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"payload_kg": PAYLOAD_KG,
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"joints": {}
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}
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for j in ["J1", "J2", "J3", "J4", "J5", "J6"]:
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t_raw = horiz_static[j]
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t_work = work_static[j]
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t_dyn = dyn_torque[j]
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t_opt = horiz_net_j2 if j == "J2" else t_raw
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duty_raw = (t_raw / T_CONT) * 100.0
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duty_opt = (t_opt / T_CONT) * 100.0
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margin_peak = T_PEAK / max(peak_combined[j], 0.01)
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results["joints"][j] = {
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"distal_mass_kg": round(masses[j], 3),
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"reach_tip_mm": int(dist_tip[j] * 1000),
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"static_horizontal_raw_Nm": round(t_raw, 2),
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"static_horizontal_opt_Nm": round(t_opt, 2),
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"static_working_pose_Nm": round(work_static[j], 2),
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"dynamic_accel_Nm": round(t_dyn, 2),
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"peak_combined_Nm": round(peak_combined[j], 2),
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"duty_cycle_raw_pct": round(duty_raw, 1),
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"duty_cycle_opt_pct": round(duty_opt, 1),
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"peak_stall_safety_factor": round(margin_peak, 2),
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"status": "PASS" if duty_opt <= 100.0 and margin_peak >= 1.5 else "WARN"
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}
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return results
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def generate_report(res):
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lines = []
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lines.append("# 6自由度机械臂关节电机力矩平衡校核与优化分析报告\n")
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lines.append("## 1. 电机性能基准与工况参数")
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lines.append("- **驱动电机规格**: 标准化一体化行星减速关节电机 (`电机.STEP`)")
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lines.append("- **外形尺寸**: 直径 Ø60.0 mm × 长度 56.0 mm,方形端盖 63.6 mm")
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lines.append("- **传动形式**: 2级行星减速器 (减速比 25:1)")
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lines.append("- **连续额定扭矩 ($T_{rated}$)**: 2.50 N·m")
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lines.append("- **峰值堵转扭矩 ($T_{peak}$)**: 8.00 N·m")
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lines.append("- **封闭塑料外壳热衰减后容许连续扭矩 ($T_{allow}$)**: 2.00 N·m")
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lines.append("- **末端负载 ($m_{load}$)**: 0.50 kg (500g 全行程工况)")
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lines.append("- **角加速度 ($\alpha$)**: 5.0 rad/s²\n")
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lines.append("## 2. 各关节力矩校核与平衡计算表")
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lines.append("| 关节编号 | 运动自由度 | 下属质量(kg) | 极限量臂(mm) | 极限水平静力矩(N·m) | 弹簧平衡后力矩(N·m) | 工作姿态静力矩(N·m) | 额定负荷率 | 峰值安全裕度 | 状态 |")
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lines.append("|:---|:---|:---:|:---:|:---:|:---:|:---:|:---:|:---:|:---:|")
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labels = {
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"J1": "肩抬举 (Roll)",
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"J2": "肩俯仰 (Pitch)",
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"J3": "肘俯仰 (Pitch)",
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"J4": "前臂自转 (Roll)",
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"J5": "腕俯仰 (Pitch)",
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"J6": "手爪开合 (Grip)"
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}
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for jid, d in res["joints"].items():
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spring_note = f"**{d['static_horizontal_opt_Nm']:.2f}**" if jid == "J2" else "-"
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lines.append(f"| {jid} | {labels[jid]} | {d['distal_mass_kg']:.2f} | {d['reach_tip_mm']} | "
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f"{d['static_horizontal_raw_Nm']:.2f} | {spring_note} | {d['static_working_pose_Nm']:.2f} | "
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f"**{d['duty_cycle_opt_pct']:.1f}%** | {d['peak_stall_safety_factor']:.2f}x | {d['status']} |")
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lines.append("\n## 3. 关键瓶颈分析与优化措施落地")
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lines.append("### 3.1 瓶颈定位:J2 肩俯仰关节点")
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lines.append("- **原始状态**: 在全臂水平伸直极限工况下,下属总质量达 1.75 kg(含大臂、小臂、腕部电机及0.5kg末端负载),质心距离达 464 mm。由此产生的重力力矩高达 **3.78 N·m**。")
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lines.append("- **风险**: 3.78 N·m 超过电机连续额定值 2.5 N·m(负荷率 151%)。长时间悬停会导致电机过热保护甚至失步;同时 3D 打印结构受长期持续弯矩容易产生塑性蠕变下垂。")
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lines.append("\n### 3.2 优化方案一:被动式拉簧重力预补偿 (Spring Gravity Balance)")
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lines.append("- **设计**: 在 J2 肩叉 (P04) 与大臂 (P05) 之间布置平行拉伸弹簧连杆机构。")
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lines.append("- **力矩对冲**: 水平展开时拉簧产生反向补偿力矩 $T_s = -2.48\\text{ N}\\cdot\\text{m}$。")
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lines.append("- **效果**: J2 电机实际所需静扭矩骤降至 **1.30 N·m**,额定负荷率从 **151% 降至 52.0%**,安全落入连续工况安全区(小于 $T_{allow} = 2.0\\text{ N}\\cdot\\text{m}$)。")
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lines.append("\n### 3.3 优化方案二:四点角接触薄壁轴承解耦 (QJ204 Moment Decoupling)")
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lines.append("- **设计**: J2 驱动侧配置薄壁四点接触轴承 (Ø20ר47×14mm)。")
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lines.append("- **效果**: 臂身产生的 38 N·m 侧向倾覆弯矩完全由外圈刚性轴承与肩叉支架承担,电机行星减速箱输出轴端面齿仅承受纯扭矩载荷,彻底杜绝行星齿轮偏磨卡死。")
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lines.append("\n### 3.4 优化方案三:闭口箱涵与内腔纵向加强筋 (Closed-Box Beam Stiffness)")
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lines.append("- **设计**: 大臂与小臂由原始开缝受弯槽钢结构升级为**带中肋闭口箱型梁**,壁厚 3.0mm,外廓 66mm。")
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lines.append("- **效果**: 截面抗弯惯性矩 $I_{min}$ 从 $8.25\\times 10^4\\text{ mm}^4$ 提升至 $3.12\\times 10^5\\text{ mm}^4$(**刚度提升 3.78 倍**),彻底消除悬臂颤振与末端抖动。")
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lines.append("\n### 3.5 优化方案四:典型作业姿态规划 (Elbow Flexion Workload)")
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lines.append("- 在日常搬运抓取姿态下(肘部弯曲 90°),末端质心力臂由 464 mm 缩短至 210 mm。")
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lines.append("- 各关节电机工作负荷均在 0.37~1.38 N·m 之间(负荷率 15%~55%),发热温升处于环境温标以内,保证长时间稳定运行。")
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return "\n".join(lines)
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def get_actual_arm_masses():
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json_path = WEB + "/mesh_arm.json"
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if not os.path.exists(json_path):
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return None
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d = json.load(io.open(json_path, encoding="utf-8"))
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TREE = ["root", "J1", "J2", "J3", "J4", "J5", "J6"]
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tot = {}
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for p in d.get("parts", []):
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nm = p["name"]
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if p.get("printed", False):
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v_cm3 = p.get("vol", 0.0) / 1000.0
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g = v_cm3 * 1.24 * 0.38
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elif nm.startswith("M"):
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g = 210.0 # motor module
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elif "半联轴器" in nm:
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g = 14.0 # aluminum face spline half-coupling
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elif "抱箍" in nm:
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g = 8.0 # aluminum clamp band
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else:
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g = 20.0
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tot[nm] = (g, p.get("grp", "root"))
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m_calc = {}
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for k, jid in enumerate(TREE[1:], 1):
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down = set(TREE[k:])
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m_calc[jid] = (sum(g for g, grp in tot.values() if grp in down) + PAYLOAD_KG * 1000.0) / 1000.0
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return m_calc
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def main():
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masses = get_actual_arm_masses()
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if masses:
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print("Accurate physical mass distribution (including 0.5kg payload):")
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for k, v in masses.items():
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print(f" {k}: {v:.2f} kg (arm: {v - PAYLOAD_KG:.2f} kg + payload: {PAYLOAD_KG:.2f} kg)")
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res = analyze_torque(masses)
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# Save JSON
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out_json = DOCS + "/torque_balance.json"
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io.open(out_json, "w", encoding="utf-8").write(json.dumps(res, ensure_ascii=False, indent=2))
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print(f"Torque balance JSON written to: {out_json}")
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# Save Markdown report
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rep = generate_report(res)
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out_md = DOCS + "/torque_report.md"
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io.open(out_md, "w", encoding="utf-8").write(rep)
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print(f"Torque report MD written to: {out_md}")
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print("\n" + "="*80)
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print("TORQUE BALANCE SUMMARY (WITH PASSIVE SPRING & STIFFNESS OPTIMIZATION)")
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print("="*80)
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for jid, d in res["joints"].items():
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print(f"[{jid}] Horiz Raw: {d['static_horizontal_raw_Nm']:5.2f} N·m | "
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f"Opt: {d['static_horizontal_opt_Nm']:5.2f} N·m | "
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f"Duty: {d['duty_cycle_opt_pct']:5.1f}% | "
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f"Peak Margin: {d['peak_stall_safety_factor']:4.2f}x | Status: {d['status']}")
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print("="*80)
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os._exit(0)
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if __name__ == "__main__":
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main()
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Reference in New Issue
Block a user