Calculate Weight of Wood Log

Calculate Wood Log Weight: Online Calculator & Guide body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); display: flex; flex-direction: column; align-items: center; } header { text-align: center; margin-bottom: 30px; width: 100%; } h1 { color: #004a99; font-size: 2.5em; margin-bottom: 10px; } h2, h3 { color: #004a99; margin-top: 25px; margin-bottom: 15px; border-bottom: 2px solid #004a99; padding-bottom: 5px; } .calculator-wrapper { width: 100%; background-color: #e9ecef; padding: 30px; border-radius: 8px; box-shadow: inset 0 1px 5px rgba(0,0,0,0.1); margin-bottom: 30px; } .loan-calc-container { display: flex; flex-direction: column; gap: 20px; width: 100%; max-width: 600px; /* Smaller max-width for calculator inputs */ margin: 0 auto; } .input-group { display: flex; flex-direction: column; gap: 8px; } .input-group label { font-weight: bold; color: #555; } .input-group input[type="number"], .input-group input[type="text"], .input-group select { padding: 12px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; transition: border-color 0.3s ease; width: calc(100% – 24px); /* Adjust for padding */ } .input-group input:focus, .input-group select:focus { border-color: #004a99; outline: none; box-shadow: 0 0 5px rgba(0, 74, 153, 0.3); } .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; } .error-message { color: #dc3545; font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; gap: 10px; justify-content: center; margin-top: 25px; } .btn { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease, transform 0.2s ease; text-transform: uppercase; letter-spacing: 0.5px; } .btn-primary { background-color: #004a99; color: white; } .btn-primary:hover { background-color: #003a7a; transform: translateY(-2px); } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; transform: translateY(-2px); } .btn-reset { background-color: #ffc107; color: #212529; } .btn-reset:hover { background-color: #e0a800; transform: translateY(-2px); } #results-container { margin-top: 30px; padding: 25px; background-color: #ffffff; border-radius: 8px; border: 1px solid #dee2e6; width: 100%; box-shadow: 0 2px 8px rgba(0,0,0,0.05); } #results-container h3 { text-align: center; margin-top: 0; border-bottom: none; } .main-result { font-size: 2.2em; font-weight: bold; color: #28a745; text-align: center; margin: 15px 0; padding: 15px; background-color: #e9f7ec; border-radius: 6px; } .intermediate-results, .formula-explanation { margin-top: 20px; padding: 15px; background-color: #f0f2f5; border-radius: 6px; } .intermediate-results p, .formula-explanation p { margin-bottom: 10px; font-size: 0.95em; } .intermediate-results p span, .formula-explanation p span { font-weight: bold; color: #004a99; } table { width: 100%; border-collapse: collapse; margin-top: 20px; } th, td { border: 1px solid #ddd; padding: 10px; text-align: left; } th { background-color: #004a99; color: white; font-weight: bold; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: #555; margin-bottom: 10px; caption-side: top; text-align: left; } .chart-container { width: 100%; margin-top: 30px; padding: 20px; background-color: #ffffff; border-radius: 8px; border: 1px solid #dee2e6; box-shadow: 0 2px 8px rgba(0,0,0,0.05); text-align: center; } .chart-container canvas { max-width: 100%; height: auto; } .chart-legend { margin-top: 15px; font-size: 0.9em; color: #666; } .chart-legend span { display: inline-block; margin: 0 10px; } .chart-legend .color-box { display: inline-block; width: 15px; height: 15px; margin-right: 5px; vertical-align: middle; } .color-log { background-color: #8B4513; } /* Brown for log */ .color-density { background-color: #007bff; } /* Blue for density */ #article-content { margin-top: 40px; width: 100%; } #article-content p, #article-content ul, #article-content ol { margin-bottom: 15px; font-size: 1.05em; } #article-content li { margin-bottom: 8px; } .internal-link { color: #004a99; text-decoration: none; font-weight: bold; } .internal-link:hover { text-decoration: underline; } footer { text-align: center; margin-top: 40px; padding: 20px; font-size: 0.9em; color: #777; } @media (max-width: 768px) { h1 { font-size: 2em; } .container { margin: 10px; padding: 15px; } .btn { padding: 10px 20px; font-size: 0.95em; } .main-result { font-size: 1.8em; } th, td { padding: 8px; } }

Calculate Wood Log Weight

Quickly estimate the weight of your wood logs with our accurate online tool.

Enter the length of the log in feet.
Enter the diameter of the log in inches.
Pine (Softwood) – Approx. 30 lbs/cubic foot Fir (Softwood) – Approx. 35 lbs/cubic foot Oak (Hardwood) – Approx. 40 lbs/cubic foot Maple (Hardwood) – Approx. 45 lbs/cubic foot Hickory (Hardwood) – Approx. 50 lbs/cubic foot Custom (Enter Below)
Enter custom wood density in lbs/cubic foot.

Calculation Results

Key Intermediate Values:

Volume: cubic feet

Weight per Cubic Foot: lbs/cu ft

Log Aspect Ratio (L/D):

Formula Used:

The weight of a wood log is calculated by first determining its volume and then multiplying that volume by the wood's density. The formula for a cylindrical log is:

Weight = Volume × Density

Where Volume = π × (Diameter/2)² × Length. We convert all units to be consistent (feet and cubic feet) before calculation.

Weight vs. Diameter at Constant Length

Weight (lbs) Density (lbs/cu ft)

What is Wood Log Weight Calculation?

The calculation of wood log weight is a fundamental process in forestry, timber harvesting, lumber production, and even construction. It involves estimating the total mass of a log based on its dimensions (length and diameter) and the type of wood it's made from, which dictates its density. Understanding the weight of a log is crucial for several reasons: logistics, transportation, structural integrity assessments, resource management, and pricing. For instance, loggers need to estimate weight to ensure their equipment can handle the load, while buyers use weight as a proxy for volume and quality, especially when purchasing by weight. This metric is particularly important in industries where raw material costs are directly influenced by quantity, and efficient handling depends on accurate weight estimations.

Who should use it? Forestry professionals, loggers, timber buyers and sellers, sawmill operators, woodworkers, contractors involved in heavy timber construction, landscape architects, and even homeowners dealing with large trees or firewood. Anyone involved in the physical handling or trade of timber products will find this calculation invaluable.

Common Misconceptions: A frequent misconception is that all wood of the same size weighs the same. This is inaccurate because wood density varies significantly between species and even within the same species based on growing conditions and moisture content. Another misconception is that a simple rule of thumb is sufficient for precise calculations; while approximations exist, they lack the accuracy needed for commercial transactions or critical structural assessments. Finally, many underestimate the impact of moisture content, assuming a dry weight when logs are often harvested and transported with significant water content, which dramatically increases their weight.

Wood Log Weight Calculation Formula and Mathematical Explanation

The core principle behind calculating wood log weight is the relationship between volume and density. The formula is straightforward:

Total Weight = Volume × Density

To apply this, we first need to determine the log's volume, typically assuming it's a perfect cylinder.

Step 1: Calculate the Radius The radius is half of the diameter. Radius (r) = Diameter (D) / 2

Step 2: Calculate the Volume (as a cylinder) The formula for the volume of a cylinder is: Volume (V) = π × r² × Length (L) To ensure consistency in units, we convert the log's diameter (in inches) to feet and then calculate the radius in feet. The length is already in feet. Radius (in feet) = (Diameter (in inches) / 2) / 12 Volume (in cubic feet) = π × [ (Diameter (in inches) / 2) / 12 ]² × Length (in feet)

Step 3: Determine Wood Density Density is a property of the wood species and its moisture content. It's usually expressed in pounds per cubic foot (lbs/ft³). Different wood species have different inherent densities. For example, hardwoods like oak and hickory are denser than softwoods like pine and fir. Moisture content significantly impacts density; wet wood is much heavier than dry wood.

Step 4: Calculate Total Weight Multiply the calculated volume by the wood's density. Total Weight (in pounds) = Volume (in cubic feet) × Density (in lbs/ft³)

The calculator uses these steps. It converts the diameter from inches to feet for the volume calculation, ensuring all units are compatible. The aspect ratio (Length/Diameter) is also calculated as it can sometimes be an indicator of log quality or potential usage.

Variables Used in Wood Log Weight Calculation
Variable Meaning Unit Typical Range
Length (L) The length of the log. Feet (ft) 1 – 50+ ft
Diameter (D) The diameter of the log at its widest point (or average). Inches (in) 4 – 60+ in
Radius (r) Half of the diameter. Feet (ft) 0.167 – 30+ ft
Volume (V) The space occupied by the log. Cubic Feet (ft³) Varies greatly based on L and D
Density ($\rho$) Mass per unit volume of the wood. Pounds per Cubic Foot (lbs/ft³) 20 – 60 lbs/ft³ (depends on species and moisture)
Total Weight (W) The total mass of the log. Pounds (lbs) Varies greatly based on V and $\rho$
Aspect Ratio (L/D) Ratio of length to diameter. Unitless 1 – 20+

Practical Examples (Real-World Use Cases)

Let's illustrate the wood log weight calculation with practical scenarios:

Example 1: Estimating the Weight of a Pine Log for Firewood

A homeowner wants to buy a load of pine logs for their fireplace. They are offered logs that are approximately 8 feet long and have an average diameter of 10 inches. Pine wood typically has a density of around 30 lbs/cubic foot when seasoned.

  • Inputs:
  • Log Length = 8 ft
  • Log Diameter = 10 in
  • Wood Density = 30 lbs/ft³ (Pine)

Calculation:

  • Radius = (10 inches / 2) / 12 inches/foot = 0.417 ft
  • Volume = π × (0.417 ft)² × 8 ft ≈ 3.14159 × 0.1739 × 8 ≈ 4.366 cubic feet
  • Weight = 4.366 ft³ × 30 lbs/ft³ ≈ 131 lbs

Result Interpretation: Each log weighs approximately 131 pounds. If the homeowner needs 1000 lbs of firewood, they would need about 1000 / 131 ≈ 7.6 logs. This helps them negotiate a fair price and estimate the effort needed to handle the wood.

Example 2: Calculating the Weight of an Oak Log for Sawmilling

A small sawmill operator is acquiring a large oak log. The log measures 16 feet in length and has a diameter of 24 inches. Oak is a dense hardwood, and this log appears to be relatively green (moist), so we'll estimate its density at 48 lbs/cubic foot.

  • Inputs:
  • Log Length = 16 ft
  • Log Diameter = 24 in
  • Wood Density = 48 lbs/ft³ (Green Oak)

Calculation:

  • Radius = (24 inches / 2) / 12 inches/foot = 1 ft
  • Volume = π × (1 ft)² × 16 ft ≈ 3.14159 × 1 × 16 ≈ 50.265 cubic feet
  • Weight = 50.265 ft³ × 48 lbs/ft³ ≈ 2413 lbs

Result Interpretation: This substantial oak log weighs nearly 2413 pounds (over a ton). This weight information is critical for the sawmill operator to plan transportation, ensure their milling equipment (like the bandsaw carriage) can handle the load safely and efficiently, and to accurately value the timber based on its weight and potential lumber yield. This highlights how wood log weight calculation is essential for operational planning.

How to Use This Wood Log Weight Calculator

Our Wood Log Weight Calculator is designed for simplicity and accuracy. Follow these steps to get your estimate:

  1. Enter Log Length: Input the total length of the log in feet into the "Log Length" field. Be as precise as possible.
  2. Enter Log Diameter: Input the diameter of the log in inches into the "Log Diameter" field. If the log is not perfectly circular, use the average diameter.
  3. Select Wood Type (Density): Choose your wood species from the dropdown menu. Common options like Pine, Fir, Oak, Maple, and Hickory are provided with typical density values in lbs/cubic foot. If your wood type isn't listed or you have a specific density value, select "Custom" and enter the exact density in lbs/cubic foot in the field that appears. This value is critical as it significantly impacts the final weight.
  4. Calculate: Click the "Calculate" button.

How to Read Results: The calculator will display:

  • Primary Result (Weight): The estimated total weight of the log in pounds, prominently displayed in green.
  • Intermediate Values:
    • Volume: The calculated volume of the log in cubic feet.
    • Weight per Cubic Foot: The density of the wood type you selected or entered.
    • Log Aspect Ratio: The ratio of the log's length to its diameter.
  • Formula Explanation: A brief description of the calculation method used.
  • Chart: A visual representation showing how weight changes with diameter for a fixed length, alongside the density line.

Decision-Making Guidance: Use these results to:

  • Estimate transportation costs.
  • Plan lifting and handling procedures.
  • Value timber for sale or purchase.
  • Ensure structural calculations for timber framing are based on realistic weights.
  • Manage inventory if you process large volumes of logs.
Remember that this is an estimate. Actual weight can vary due to factors like irregular log shapes, internal defects, and precise moisture content. For critical applications, weighing the log directly is recommended. For more detailed analysis of timber resources, consider using a timber volume calculator.

Key Factors That Affect Wood Log Weight

Several factors influence the actual weight of a wood log, making the calculated weight an estimate. Understanding these nuances is key for professionals:

  1. Species of Wood: This is the most significant factor, directly related to density. Hardwoods (e.g., oak, maple, hickory) are generally much denser and heavier than softwoods (e.g., pine, fir, spruce) due to their cellular structure. Our calculator uses typical density ranges for common species.
  2. Moisture Content: Wood is hygroscopic, meaning it absorbs and releases moisture from the environment. Green (freshly cut) wood contains a substantial amount of water, significantly increasing its weight. As wood dries or seasons, it loses moisture and becomes lighter. The density values used in calculations are often for seasoned wood; green wood can be 20-50% heavier. This is why density values can have such a wide range.
  3. Log Shape and Taper: Logs are rarely perfect cylinders. They often taper from the butt (wider end) to the top (narrower end). Our calculator assumes a cylindrical shape for simplicity. Real logs have less volume (and thus less weight) than a perfect cylinder of the same maximum diameter and length. Advanced lumber volume calculators may account for taper using methods like the Doyle or Scribner log rules.
  4. Presence of Defects: Knots, cracks, rot, or insect damage can affect the log's overall density and structural integrity. While not directly factored into simple weight calculations, significant rot can reduce the effective density and the total solid wood volume, making the log lighter than predicted.
  5. Temperature: While less impactful than moisture, wood density can slightly change with temperature. At very low temperatures, wood becomes more brittle, and its density might slightly increase. At higher temperatures, it might slightly decrease. This effect is minor compared to moisture.
  6. Specific Gravity vs. Density: While often used interchangeably, density (mass/volume) and specific gravity (ratio of wood density to water density) are related. Our calculator uses density directly in lbs/ft³. Understanding the specific gravity of a wood species is fundamental to determining its potential weight under varying moisture conditions.
  7. Bark: The presence and thickness of bark add weight. While bark density varies, it generally adds a noticeable percentage to the total weight, especially for species with thick, heavy bark. The calculator assumes no bark or bark weight is implicitly included in the density value if it's based on round log measurements.

Frequently Asked Questions (FAQ)

Q1: What is the most accurate way to determine a log's weight?
The most accurate method is to weigh the log directly using a scale, such as a weighbridge for trucks carrying logs or industrial scales for individual logs. Our calculator provides an estimate based on mathematical models.
Q2: How does moisture content affect log weight?
Moisture content significantly increases log weight. Green wood, freshly cut, can hold a lot of water (sometimes up to 50% or more of its dry weight), making it much heavier than seasoned or kiln-dried wood. Our calculator uses typical densities for seasoned wood unless a custom value representing green wood is entered.
Q3: Can I use this calculator for logs that are not perfectly cylindrical?
The calculator assumes a cylindrical shape for simplicity. For logs with significant taper or irregular shapes, the calculated volume and weight will be approximations. Log scaling rules (like Doyle, Scribner, or International 1/4-inch) are often used in forestry to estimate lumber volume, which is related to weight, but they are more complex than this basic weight calculator.
Q4: What is the density of "average" wood?
There isn't a single "average" wood density because it varies so widely. However, a commonly cited figure for many temperate hardwoods like oak or maple when seasoned is around 40-45 lbs/cubic foot, while softwoods like pine or fir might be around 30-35 lbs/cubic foot. Our calculator allows you to select specific species for better accuracy.
Q5: Does the calculator account for bark?
The calculator's weight is primarily based on the wood volume and density. The bark's contribution to weight is usually considered part of the overall density of a round log, especially if the density value is derived from measurements of actual logs. For precise calculations where bark removal is a factor, you might need to subtract the estimated weight of the bark.
Q6: What units should I use for the inputs?
The calculator requires Length in feet and Diameter in inches. The density unit is pounds per cubic foot (lbs/ft³). The output weight will be in pounds (lbs).
Q7: What if I have a very specific wood density not listed?
Simply select "Custom" from the wood type dropdown. A new input field will appear where you can enter your specific wood density value in lbs/cubic foot. This allows for highly accurate calculations if you know the precise density of your material.
Q8: How is the aspect ratio useful?
The Length-to-Diameter (L/D) ratio, or aspect ratio, can be an indicator of log quality or suitability for certain uses. Very long, slender logs might be prone to breakage during transport, while very short, thick logs might be ideal for specific lumber cuts or construction elements. It's a secondary metric that can inform handling and usage decisions.

Explore these related financial and forestry tools to enhance your calculations and decision-making:

  • Timber Volume Calculator: Estimate the board feet or cubic meters of lumber in a log or standing tree. Essential for valuing timber resources accurately.
  • Firewood Calculator: Calculate the amount of firewood needed for a season or the cost-effectiveness of different purchasing options.
  • Wood Density Chart: A comprehensive reference of densities for various wood species, crucial for precise weight estimations.
  • Forestry Equipment Cost Calculator: Estimate the operational costs associated with logging and timber transport.
  • Guide to Wood Seasoning: Understand the process of drying wood and its impact on weight, stability, and usability.
  • Lumber Price Estimator: Get an idea of current market prices for different types of lumber based on grade and dimensions.

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' + totalWeight.toFixed(2) + ' lbs
'; document.getElementById('volumeResult').textContent = volume.toFixed(2); document.getElementById('weightPerCubicFootResult').textContent = weightPerCubicFoot.toFixed(1); document.getElementById('aspectRatioResult').textContent = aspectRatio.toFixed(2); // Update chart updateChart(logDiameter, totalWeight, woodDensityValue); } function resetCalculator() { document.getElementById('logLength').value = '8'; document.getElementById('logDiameter').value = '12'; document.getElementById('woodDensity').value = '30'; // Pine document.getElementById('customWoodDensity').value = "; document.getElementById('customDensityGroup').style.display = 'none'; document.getElementById('logLengthError').textContent = "; document.getElementById('logLengthError').style.display = 'none'; document.getElementById('logDiameterError').textContent = "; document.getElementById('logDiameterError').style.display = 'none'; document.getElementById('customWoodDensityError').textContent = "; document.getElementById('customWoodDensityError').style.display = 'none'; document.getElementById('logLength').style.borderColor = '#ccc'; document.getElementById('logDiameter').style.borderColor = '#ccc'; document.getElementById('customWoodDensity').style.borderColor = '#ccc'; // Reset results document.getElementById('result').innerHTML = 'Enter details and click Calculate.'; document.getElementById('volumeResult').textContent = '–'; document.getElementById('weightPerCubicFootResult').textContent = '–'; document.getElementById('aspectRatioResult').textContent = '–'; // Reset chart if (window.weightChartInstance) { window.weightChartInstance.destroy(); window.weightChartInstance = null; } initializeChart(); // Re-initialize with default empty state } function copyResults() { var mainResult = document.getElementById('result').innerText; var volume = document.getElementById('volumeResult').innerText; var weightPerCubicFoot = document.getElementById('weightPerCubicFootResult').innerText; var aspectRatio = document.getElementById('aspectRatioResult').innerText; var logLength = document.getElementById('logLength').value; var logDiameter = document.getElementById('logDiameter').value; var woodDensity = document.getElementById('woodDensity').value; if (woodDensity === 'custom') { woodDensity = document.getElementById('customWoodDensity').value + ' (Custom)'; } else { woodDensity = document.getElementById('woodDensity').options[document.getElementById('woodDensity').selectedIndex].text; } var assumptions = `Assumptions:\nLog Length: ${logLength} ft\nLog Diameter: ${logDiameter} in\nWood Type/Density: ${woodDensity}`; var textToCopy = `Wood Log Weight Calculation Results:\n\n${mainResult}\n\nKey Values:\nVolume: ${volume} cubic feet\nWeight Per Cubic Foot: ${weightPerCubicFoot} lbs/cu ft\nLog Aspect Ratio: ${aspectRatio}\n\n${assumptions}`; navigator.clipboard.writeText(textToCopy).then(function() { // Optionally provide user feedback, e.g., change button text briefly var copyButton = document.querySelector('.btn-secondary'); var originalText = copyButton.innerText; copyButton.innerText = 'Copied!'; setTimeout(function() { copyButton.innerText = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Charting Logic var weightChartInstance = null; function initializeChart() { var ctx = document.getElementById('weightChart').getContext('2d'); var initialData = { labels: ['Diameter (in)'], datasets: [ { label: 'Estimated Weight (lbs)', data: [], // Initially empty borderColor: '#8B4513', // Brown for log weight backgroundColor: 'rgba(139, 69, 19, 0.2)', fill: false, tension: 0.1, yAxisID: 'y1' }, { label: 'Wood Density (lbs/cu ft)', data: [], // Initially empty borderColor: '#007bff', // Blue for density backgroundColor: 'rgba(0, 123, 255, 0.2)', fill: false, tension: 0.1, yAxisID: 'y2' } ] }; var options = { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Log Diameter (inches)' } }, y1: { type: 'linear', position: 'left', title: { display: true, text: 'Weight (lbs)' }, grid: { drawOnChartArea: false, // only want the grid lines for one axis to show } }, y2: { type: 'linear', position: 'right', title: { display: true, text: 'Density (lbs/cu ft)' }, ticks: { beginAtZero: true } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2); } return label; } } } } }; window.weightChartInstance = new Chart(ctx, { type: 'line', data: initialData, options: options }); } function updateChart(currentDiameter, currentWeight, currentDensity) { var chart = window.weightChartInstance; if (!chart) { initializeChart(); chart = window.weightChartInstance; } var logLengthInput = document.getElementById('logLength'); var logLength = logLengthInput.value ? parseFloat(logLengthInput.value) : 8; // Default length if input is empty var datasets = chart.data.datasets; var maxDiameter = 60; // Max diameter for chart range var step = maxDiameter / 10; // 10 data points var diameters = []; var weights = []; var densities = []; // Populate chart data points for (var d = step; d <= maxDiameter; d += step) { diameters.push(d); var radiusFeet = (d / 2) / 12; var volume = Math.PI * Math.pow(radiusFeet, 2) * logLength; var weight = volume * currentDensity; weights.push(weight); densities.push(currentDensity); // Density is constant for this chart view } datasets[0].data = weights; datasets[1].data = densities; chart.data.labels = diameters.map(function(d) { return d.toFixed(0); }); // Set labels for x-axis chart.update(); } // Initialize chart on load window.onload = function() { initializeChart(); // Trigger initial calculation if defaults are present, or just reset resetCalculator(); calculateWeight(); // Calculate based on defaults }; // Handle custom density select change document.getElementById('woodDensity').addEventListener('change', function() { var customDensityGroup = document.getElementById('customDensityGroup'); if (this.value === 'custom') { customDensityGroup.style.display = 'block'; // Clear error if it was showing for the old custom input document.getElementById('customWoodDensityError').textContent = ''; document.getElementById('customWoodDensityError').style.display = 'none'; document.getElementById('customWoodDensity').style.borderColor = '#ccc'; } else { customDensityGroup.style.display = 'none'; // Clear error related to custom input if it was shown document.getElementById('customWoodDensityError').textContent = ''; document.getElementById('customWoodDensityError').style.display = 'none'; document.getElementById('customWoodDensity').style.borderColor = '#ccc'; } }); // Trigger calculate on input change for real-time updates document.getElementById('logLength').addEventListener('input', calculateWeight); document.getElementById('logDiameter').addEventListener('input', calculateWeight); document.getElementById('woodDensity').addEventListener('change', calculateWeight); document.getElementById('customWoodDensity').addEventListener('input', calculateWeight);

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